Senior Data Scientist

New York · NY

Engineering and Information Technology

We’re looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform. Responsibilities include connecting external data sources to Shaped, creating ranking models with our declarative SQL interface, and helping customers achieve their business objectives. As a founding Senior Data Scientist, you'll collaborate with a diverse range of customers to solve their ranking challenges. Additionally, you'll contribute to shaping our product roadmaps and engineering culture. We’re excited to work with you. Come build the future of AI with us! Qualifications Past experience working with recommendation systems in productionBachelor's in computer science, data science or mathematics related field. Master's degree or PhD will be advantageous.3+ years of industry experience in a software engineering, data science or solutions architecture roleProficient with Python, SQLHave the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solvingIn-depth knowledge of mathematics, statistics and algorithms.Operate well within fast paced, small teams Excellent written and verbal communication skills. Responsibilities Become an expert at using the Shaped ranking platformExperiment with ranking models for customer's discovery use-casesAnalyze data to identify performance improvements for customers' models swiftlyExperiment with pre-trained image, language, audio and video embedding models that understand our customer's discovery dataBuild strong relationships with customers’ technical teams and leaders to ensure long-term success with ShapedDeliver technical demos to showcase the Shaped’s capabilities to customers.Proactively communicate with customers on timelines, updates and next steps

Research Scientist Model Engineer, Autonomous Startup

New York · NY

Other

Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. https://www.recruitingfromscratch.com/ About Our Client At our client, their mission is to make self-driving for everyone. They build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market. Our client has 100+ employees across its headquarters in Mountain View and additional offices in Dallas and Sydney. They have raised $165 million from investors including Mike Speiser at Sutter Hill Ventures, Keith Rabois at Founders Fund, and Vinod Khosla at Khosla Ventures. The Role As a Model Engineer at our client, you will be responsible for building and testing the models that literally drive our vehicles. Operating on the noisy data of a real-world environment, the problems you face will be complex and open-ended, and the solutions you create have the potential for enormous impact. With a proven founding team and compelling plan, our client knows where it is going - but how it gets there will be up to you. Requirements: You likely have a PhD in Software, Physics, Electrical Engineering, or similar disciplines Professional experience working with real-world, physical data A track record of having shipped models and code into production Strong programming skills in object-oriented languages (functional programming is a plus), including ability to debug and optimize code Ability to fine tune GPT models Working knowledge of machine learning, data engineering, deep learning frameworks, and related testing techniques Base Salary Compensation for this role consists of a base salary and an options grant, with the base salary expected to range from $175,000 to $275,000+. Individual compensation will be commensurate with the candidate’s experience. https://www.recruitingfromscratch.com/

Senior Data Scientist

New York · NY

Engineering and Information Technology

Instnt Inc. is a public benefit corporation on a mission to bring inclusion and instant account opening experiences for businesses and their customers through proprietary technology, artificial intelligence, open standards and a collaborative effort in the identity governance industry. With Instnt AcceptTM the first fully managed customer acceptance solution with up to $100M in annual fraud loss warranty, businesses can onboard more good customers, grow their top-line revenue, and cut their operational costs without friction or fraud losses in minutes. The Senior/Staff Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models that solve complex business challenges. Key Responsibilities: Collaborate with customers to understand their unique business challenges and objectives, and work to formulate data-driven solutions that address their needs.Collaborate with Sales on developing and presenting value propositions to customers.Lead end-to-end development of machine learning projects, from problem formulation and data collection to model development, evaluation, and deployment.Collaborate closely with product managers, data scientists, software engineers, and other stakeholders to understand business requirements and translate them into technical solutions.Build and integrate machine learning solutions into production systems.Participate in code reviews, provide constructive feedback, and maintain high standards of code quality and best practices.Participate in client meetings, workshops, and presentations to effectively communicate data-driven recommendations, answer questions, and address concerns.Mentor and provide technical guidance to junior members of the machine learning team, fostering their professional growth and development. Qualifications: 4-6 years of professional experience in designing, developing, and deploying machine learning models in a production environment.Strong proficiency in Python and experience with machine learning libraries/frameworks (e.g., H2o, scikit-learn, TensorFlow, PyTorch).Demonstrated expertise in various machine learning techniquesSolid understanding of software engineering principles, version control, and agile development methodologies.Experience with MLOps experiment tools (e.g. MLFlow, Weights & Biases), feature platforms (e.g. Feast, Tecton), and monitoring platformsExperience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes).Proven track record of leading and delivering complex machine learning projects from conception to deployment.Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, multidisciplinary team environment.Strong communication skills to effectively explain technical concepts to both technical and non-technical stakeholders. What We Offer: Generous benefits package to include unlimited PTO, fully remote workplace, generous leave for new parents, professional development, in person team get-togethers in NYC twice per year, a collaborative culture that welcomes innovative ideas, celebrates diversity and creates a sense of community and belonging. Salary Range: $140k - $175k (placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location) We are an equal opportunity employer. M/F/H/V

Research Scientist 4 (DMRP)

New York · NY

Human Resources and Health Care Provider

Minimum Qualifications Non-Competitive: bachelor’s degree and five years of professional research experience in an appropriate field. – Substitutions: master’s degree in an appropriate field may substitute for one year of experience, and Ph.D. in an appropriate field may substitute for an additional year of experience. Examples of acceptable degree fields are Epidemiology, Sociology, Biostatistics, Public Health, Biology, Psychology, Mental Health Counseling, Health Administration, Addiction Studies, Education, Human Services and other related field. Preferred Qualifications Master’s or Doctoral degree in epidemiology, public health, public policy, statistics/biostatistics, public administration, or closely related fieldIntermediate or advanced knowledge of SAS, geographical information systems (GIS) and TableauAt least 2 years’ experience integrating health equity principles into surveillance, epidemiology and research At least 2 years’ experience analyzing population-based survey data At least 2 years’ experience in chronic disease surveillance, epidemiology or research At least 2 years’ experience with supervision of research and data analysis staff Duties Description The Research Scientist 4 is responsible for providing support to the Bureau of Research and Program Evaluation, and for working directly with the Bureau Director in the evaluation of multiple initiatives supported by state and federal funding opportunities managed by DMRP. Initiatives are designed to develop and enhance prevention, harm reduction, treatment and recovery services throughout the state. Candidates must have technical data management and analysis expertise using public health and administrative health service data. The successful candidate will demonstrate experience leading and collaborating in the conduct of program evaluations and analytic projects for inclusion in dissemination and professional materials. Ability to calculate, interpret and communicate statistics from data systems and provide findings in a variety of formats to both technical and general audiences. Proficiency in SAS, R, and Microsoft programs Excel, Word, Access, and PowerPoint is required. Responsibilities Include, But Are Not Limited To Conduct analyses of real-time OASAS program data and create data visualizations of program evaluation metrics and program data Format, clean, and manage administrative data including merging multiple data sources with OASAS program data for analyses and program evaluation Serve as a survey and data management liaison to support program initiatives Contribute to the execution of evaluation projects that address OASAS and Division initiatives and program implementation Contribute to the execution of research projects that result in publishable contributions that answer important questions in the addictions field, inform policy and open avenues for further study Work collaboratively with various OASAS divisional projects under the direction of the Bureau Director Support the development of policies and procedures to support Bureau functions Edit written reports, presentations, and other work products developed by the Bureau Anticipate Bureau needs particularly with respect to data analyses and data products Provide timely, professional, and accurate data products to the Bureau Director including providing data products on short timeframes Supervise junior staff Other duties as assigned by Bureau Director Additional Comments +3,087 location pay Excellent Health Insurance Benefits Including Vision and Dental, NYS Employees Retirement System (Pension), Optional Deferred Compensation, Continuing Education Benefits, Generous Paid Leave Benefits, Compensation for 12 State holidays per year. Telecommute may be discussed at interview

Senior Data Scientist

New York · NY

Engineering and Information Technology

Why Charlie Health? Young people across the nation are grappling with a mental health crisis characterized by escalating rates of depression, anxiety, trauma, substance use disorders, and suicide. Individuals who seek support are met by geographical and financial barriers, driving increased urgency for a new approach to behavioral health treatment. At Charlie Health, our mission is to connect the world to life-saving mental health treatment. Our treatment programs combine curated peer groups, individual therapy, and family therapy into personalized, evidence-based treatment plans to provide long-term healing from home. By prioritizing connections among young people with shared mental health experiences and goals, Charlie Health fosters sustainable healing and achieves industry-leading clinical outcomes, with over 90% of our clients seeing improvement in their most severe mental health symptoms. Every member of the Charlie Health team is fueled by an unwavering passion for our mission. If you share this commitment, we invite you to join us in making a tangible impact on the mental health landscape. About the Role As the first Senior Data Scientist at Charlie Health, you'll help shape our data-driven future. You'll leverage your expertise in machine learning and statistical analysis to build and deploy impactful models that optimize our programs and patient experiences. You'll leverage your skills and expertise to address problems ranging from predicting a client's likelihood of successful completion of Charlie Health's program, recommending personalized therapist matches to fit a client's needs and preferences, or predicting and preventing appointment no-shows. Your work will directly impact the lives of teens and young adults seeking mental health support with Charlie Health. Our team is comprised of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. We are looking for a candidate who is inspired by our mission and excited by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way. Responsibilities Develop and deploy high-quality, impactful machine learning models with rapid time to valueDesign, validate, and implement predictive models for tasks like session attendance likelihood, discharge readiness, and readmission riskOptimize complex processes through model-driven insights (e.g., therapist assignment, group session matching)Collaborate closely with product, engineering, and care strategy teams to translate data into actionable solutionsAct as the product owner for data science initiatives, proactively identifying opportunities and building out a roadmap Monitor model performance, evaluate results, and iterate to continuously improve model effectivenessMentor and educate other team members, fostering a collaborative data science culture Requirements 3-5+ years experience in a data science role at a fast-growing organization Experience building data science models from scratch and collaborating with Product and Engineering teams to translate models into productized solutions that drive quantifiable business valueBachelor's degree in Data Science, Statistics, Mathematics, or a related field requiredProven track record in developing and launching successful ML based business solutionsSolid understanding of statistical methods and principlesProficiency in Python and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch)Excellent communication and collaboration skills to bridge the gap between technical and business needsStakeholder management skills to effectively identify, calculate, and communicate the value of data science initiativesStrong work ethic, self-motivation, and a passion for making a positive impactPlease note that this position is located in New York, NY and is expected to adhere to a 4-day in-office hybrid work schedule. Candidates must be located within 75 minutes' commuting distance of the NYC office. Preferred Qualifications Experience working in a high growth, scaling environmentHealthcare or software industry experience Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target cash compensation for this role will be between $144,000 and $198,000 per year at the commencement of employment. However, pay will be determined on an individualized basis and will be impacted by location and number of years of experience. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values ConnectionCare deeplyWe care personally about every single person in the Charlie Health ecosystem: our clients, providers, and team members alike.Inspire hopeWe inspire hope with every interaction, reminding our clients that we truly and unconditionally believe in them.CongruenceStay curiousWe ask "why" five times before we're satisfied with the answer. We don't stick to the status quo; we challenge our assumptions and remain humble.Heed the evidenceAbove all, we're results-oriented. When we find data that calls our original plan into question, we modify or pivot.CommitmentAct with urgencyWe work as swiftly as possible. The mental health crisis is relentless, and so are we.Don't give upOur clients don't give up and neither do we. Persistence is our superpower. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.

Director of Training & Outreach

New York · NY

Human Resources

THE SELECTED CANDIDATE WILL BE OFFERED A SALARY BETWEEN $92,301 - $106,146. The Office of the Chief Operating Officer provides a range of resources to support the Division of Child and Family Well-being (CFWB), including leading efforts on administration, technology, and human resources. The Chief Operating Officer also leads interdivisional and interagency initiatives focused on providing high-quality, equitable and accessible childcare for thousands of New York City families. This includes the recent launch of MyCity, the city’s first online application for childcare assistance, and the redesign of nearly all of ACS’s public facing childcare information and materials for families and childcare providers. While reporting to the Chief Operating Officer, the Director of Training and Outreach will work closely with two other CFWB Units: (1) the Office of Childcare Operations (CCOPs), which provides a range of resources to support access to childcare vouchers for eligible low-income families. These vouchers serve more than 35,000 families across New York City and are used at hundreds of community-based childcare programs and providers, and (2) the Policy and Compliance Unit, which performs all tasks related to childcare policies and procedures, ensures compliance with federal, state and local laws and regulations that govern various funding streams, and provides quality assurance to proactively safeguard compliance and standards. CFWB seeks a strategic, inclusive senior leader with substantive experience in training and coaching, quality improvement, and community outreach to lead our newly formed Training and Outreach Unit. The Training and Outreach Unit will focus on four key priorities (1) developing and implementing in-person policy and practice specific trainings for staff within the Child Care Operations Unit, including onboarding trainings for new hires and issue-specific trainings for all staff (2) developing and overseeing all training materials, desk guides, and procedure manuals for the Child Care Operations Unit (3) developing and implementing a quality improvement process to inform the need for additional trainings, desk guides, etc. and (4) conducting outreach to families, community partners, advocates, and city colleagues about how families can access child care services. The Director of the Training and Outreach Unit will lead efforts on these four priorities, developing strategies to deliver high-quality, supportive, and individualized trainings and outreach sessions to staff and the public. This includes identifying training needs, resources, and outreach opportunities, creating training policies and processes, using qualitative and/or quantitative research methods to evaluate programs and business processes, conducting research to evaluate the impact of trainings and outreach sessions, analyzing data to investigate performance, identifying targeted training needs for staff informed by both staff feedback and quality assurance data, identifying targeted outreach opportunities to increase application growth in key neighborhoods, coaching staff and leaders toward continuous growth and learning, and elevating systemic issues arising from conversations with internal and external stakeholders. The Director will be responsible for building this office from the ground up and developing a cohesive, collaborative culture of quality improvement across the Division. The role requires the ability to carry multiple priorities forward at once, to communicate effectively across internal stakeholders, present research in reports and present to different audiences, and to leverage patience, creativity, and team building to solve difficult or entrenched issues. A successful candidate will also have a solution-oriented mindset and a passion for process improvement and modernization to benefit the workforce and families across New York City. Responsibilities This position reports to the CFWB Chief Operating Officer. The Executive Director of the Client Experience Unit tasks and responsibilities include but are not limited to: Manage the Training and Outreach Unit, developing a cohesive strategy of internal training and external outreach Enhance training and outreach strategies and operations, aimed at providing the highest-level support and guidance to Childcare Operations Unit staff Develop performance metrics to address performance concerns and implement systemic improvements to when and how staff receive training Conduct research to evaluate how well training and outreach programs are running and use mixed methods of data analysis to develop reports and implement improvements Collaborate with the Childcare Operations Unit and Policy and Compliance Unit to ensure that staff are aware of and trained on key policies and procedures, particularly when policies or operational processes change Collaborate with the Client Experience Unit to ensure that client-facing staff have the information they need to communicate effectively with families and providers Analyze data to investigate performance; manage research projects to evaluate and improve programs and business processes Advise on changes to operational processes and procedures that will enhance customer service and/or address systemic issues arising from your unit’s engagement with families and providers. Serve as a senior advisor to the Associate Commissioner for Childcare Operations, Associate Commissioner of Policy and Compliance, and Executive Director of the Client Experience Unit Additional Info THE SELECTED CANDIDATE WILL BE OFFERED A SALARY BETWEEN $92,301 - $106,146. Section 424-A of the New York Social Services Law requires an authorized agency to inquire whether a candidate for employment with child-caring responsibilities has been the subject of a child abuse and maltreatment report. TO APPLY APPLICATIONS MUST BE SUBMITTED ELECTRONICALLY USING ONE OF THE OPTIONS BELOW: For current city employees, go to Employee Self Service (ESS), Recruiting Activities, Careers and search for Job ID# 615401. For all other applicants go to www.nyc.gov/careers and search for Job ID# 615401. Click on the "Apply" button. If you do not have access to a computer, most public libraries have computers available for use. Only candidates selected for an interview will be contacted. Minimum Qualifications For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. Note Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Preferred Skills Ability to coach, train, and support staff Strong communication skills, including clarity and transparency with colleagues at all levels Experience in training and coaching Effective and innovative problem-solving Capacity to plan for and implement process improvement Assess process and measure success Public Service Loan Forgiveness As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/. Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Data Architect

New York · NY

Engineering and Information Technology

Summary We are seeking a Data Architect to join our research team with a focus on driving the development, maintenance, and enhancement of our large data-sharing initiatives in mental health research. As our Data Architect, you'll play a critical role in managing and scaling our International Neuroimaging Data Sharing initiative, Healthy Brain Network, Next-Generation Digital Therapeutics (NGDT) program, among other key open science projects. Your primary responsibilities will encompass the organization, curation, storage, maintenance, expansion, and sharing of large databases containing vital phenotypic and neuroimaging research data. Leveraging advanced technologies such as Amazon Web Services and local databasing technologies, you will work on large open-science initiatives and closely collaborate with research staff at CMI, supporting data organization and facilitating access to data. Your efforts will greatly contribute to our mission of advancing the field of mental health research. Reporting to the Research Scientist, this is an exempt, full-time position located in our NYC headquarters office. A hybrid schedule is possible. Remote positions will be considered. The Child Mind Institute is proud to be named a Great Place to Work-Certified company! Our competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, and flexible work schedules, paid parental leave, dependent care and discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Responsibilities Lead and maintain key data initiatives, including the International Neuroimaging Data-Sharing Initiative (INDI). Transform raw data into standard formats and manage large databases, ensuring efficient data wrangling and transformation. Maintain and update databases containing various data types in the Longitudinal Online Research and Imaging System (LORIS). Ensure stringent data security and participant anonymity protocols are in place and adhered to. Lead compliance with data sharing requirements for federal agencies. Write effective, scalable, well-documented code, as well as read and manipulate data using Python. Provide technical solutions for data organization, supporting both research staff and external collaborators. Research and maintain knowledge in emerging technologies and solutions to solve complex research and business problems. Qualifications Minimum requirements BSc in Computer Science, Engineering, or relevant field. Minimum of 6+ years in database management, data analysis languages, Linux environment, and code versioning. Proven expertise in scripting languages (Python, Bash, R) and databases (CouchDB, SQL, NoSQL, Snowflake, etc.). In depth knowledge of distributed system architectural patterns and best practices. Strong verbal and written communication skills with a team-oriented mindset. Good problem-solving skills and ability to manage large scale data systems. Preferred Additional Qualifications. Familiarity with neuroimaging data (EEG or MRI). Knowledge of writing code in PHP and HTML. Experience using cloud-based solutions (AWS, GP, or Azure) and clusters (job schedulers). Special Considerations Please upload your CV during the application process. All new hires must be vaccinated and must stay up to date with vaccines against the COVID-19 virus unless they have been granted a reasonable accommodation for religion or disability. If you are offered employment with CMI, this requirement must be met by your date of hire, unless a reasonable accommodation for exemption is received and approved by CMI. The Child Mind Institute is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Lead Data Engineer

New York · NY

Information Technology

Kasheesh is an all-in-one financial portfolio for consumers. We are the first-to-market digital payment platform that allows anyone to split their payments across multiple cards for online purchases. We believe in unlocking the full potential of debit and credit cards and providing our users with responsible gratification powered by analytics. We are looking for a Lead Data Engineer to join our rapidly growing engineering team. You will report to the CTO and work closely with the rest of Kasheesh’s product and engineering teams. This position is a blend of 50% backend engineer and 50% data scientist, so we are looking for someone passionate and curious about dealing with all facets of data, including designing data architecture, building and maintaining databases, and implementing basic ML models. This position will be working on-site 4 days a week at our New York City office. Requirements 3+ years of experience with Python3+ years managing data ETL pipelines and storage systemsWell versed in relational and non-relational databases conceptsAbility to create project plans, scope problems, set priorities, align projects with business goals and integrate data analytics modules into productsExperience delivering stand-alone projects to end-users and integrating modules in other softwareRelevant educational background i.e. Math, Applied Math, Computer Science, Physics, Computational Sciences, Systems Engineering/Industrial Engineering/Operations Research (IEOR), Statistics, Actuarial Science or other related fields Responsibilities Build and maintain data ETL pipelinesManage data science and analytics projectsIndependently execute data science and analytics tasks from end-to-endSet and adjust company-wide, long-term roadmap for data infrastructure effortsSet data verification and validation standardsIdentify, communicate with, and evaluate data / technology vendors Benefits 100% employer covered healthcare, dental and vision insurancePre-taxed commuter benefitsUnlimited PTO with 2 weeks minimum vacationMonthly wellness stipendOffice setup budgetMatched 401(k)Hybrid work model: Monday-Thursday in our beautiful Flatiron office, Fridays work from home!Casual dress code $140,000 - $190,000 a year with equity options More About Kasheesh : We challenge traditional banking systems and are transparently consumer agnostic. We look at every user as the same. We are aware that there are many outdated problems with financial institutions still requiring to deadname each individual based on laws and KYC regulations. This is why we agree that everybody who shops, regardless of their financial or social standing, should be able to establish credit and maximize rewards by spreading their purchasing power across multiple cards. We firmly believe that regular face-to-face encounters can help us form strong bonds with our teams. We appreciate everyone's opinion and promote collaboration throughout all business units of our organization. Kasheesh prides itself on creating an all inclusive company culture dedicated to constant growth and adaptation to meet our employees' professional and personal needs. Kasheesh is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

Sr. Staff AI Scientist

New York · NY

Engineering and Information Technology

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. We are currently searching for a Deep Learning NLP Engineer for our Sr. Staff AI Scientist role to report to our Chief Scientist. This is a tremendous opportunity to work with the best and the brightest in the industry on our world class technologies. The preferred hiring location is Palo Alto, CA or New York City, NY. Role Attributes Drives the creation, optimization and deployment of transformer/generative based NLP and multi-modalmodels for production at a large scaleWork closely with other teams in R&D, Platform Engineering, and Product to establishrequirements and priorities Has a circle of influence beyond the immediate team, reaching out to product and engineeringOwns the development, training, testing, and improvement of large-scale models with particular attention on the increasing the quality and safety of the output while reducing hallucinations Influences the team, and beyond, by establish best practices in machine learning methodsActively contributes to the architecture/design of data collection and processing pipelines Requirements Strong background and experience in ML NLP, especially transformer-based MLand Large Language Models Working knowledge of one or more of the following NLP fields: Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph and Causal Inference Extensive knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O Experience deploying NLP solutions in a commercial environment Hands-on with latest Generative AI developments in the past year with exposure to finetuning, prompting strategies and optimization of models for inferencing Experience in Big Data, search and chatbot technologies Strong background and experience in software engineering, scaling large models, training and real time inference. Comfortable with coding in different languages and cloud environments Proven experience in working with other organizations, and in different geographies, besides R&D Master or PhD in NLP orcomputer science 8+ years of industrial R&D experience after graduation $151,200 - $207,907 a year The anticipated base salary hiring range for this position is: California or New York: $181,400 - $220,000 All other US hub locations: $151,200 - $207,907 The specific rate will depend on the successful candidate's qualifications and prior experience. In addition to competitive base pay, this position also includes an annual bonus based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life. Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit  www.uniphore.com . All applicants - to review our privacy notice, please click here Information Regarding Recruiting And Phishing Scams Employment offers will always be made by a Uniphore hiring manager or Talent Acquisition team member with a @uniphore.com email address only. We will never text you about an employment opportunity, interviews or employment offers, and we do not make job offers after only one interview. Additionally, we will never ask you to provide funds for onboarding, supplies or anything else, nor we will ask you to submit your personal information (date of birth, passport details, banking information, social security number, etc.) as part of the interview process. If you are receiving an employment inquiry or employment offer from a non Uniphore.com email address, please assume it is spam. If you believe you have been a victim of a phishing or false employment scam, you may want to report this incidents to the FBI iC3 , or visit the Department of Homeland Security’s Cyber Smart website to learn how to report such scam.

Manager, Analytics Engineer - Biopharma

New York · NY

Research, Analyst, and Information Technology

ROLE SUMMARY: Pfizer is seeking hardworking, passionate and results-oriented individuals to join our Analytics Engineering team to build data foundations and tools to craft the future. You will design and implement scalable, extensible and highly-available data pipelines on large volume data sets, that will enable impactful insights & strategy for our products. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking sensible risks. Our team collaborates deeply with partners across analytics, data science, marketing, digital, business teams: our mission is to drive innovation by providing the business, marketing and data scientist partners best in class systems, data products, and tools to make decisions that drive business performance and patient experience. This will include using large and complex data sources, helping derive measurable insights, delivering dynamic and intuitive decision tools, and bringing our data to life via amazing visualizations. The ideal candidate is a self-motived teammate, skilled in a broad set of data processing techniques with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible data processing solution is a must. ROLE RESPONSIBILITIES: Reporting to the head of Analytics Engineering this person will collaborate with data scientists, reporting/data visualization specialists, business, marketing teams all working together to identify requirements that will derive the creation of data pipelines and other data products. You will work closely with Pfizer’s Digital team to understand the architecture and internal APIs involved in upcoming and ongoing projects. We are seeking an outstanding person to play a pivotal role in helping the analysts & business users make decisions using data and visualizations. You will partner with key partners across the business, data science & marketing teams as you design and build query friendly data structures. Translate business requirements by business team into data and engineering specifications Build scalable data sets based on specifications from the available raw data and derive business metrics/insights Understand and Identify server APIs that needs to be instrumented for data analytics and align events for execution in already established data pipelines Explore and understand sophisticated data sets, identify and formulate correlational rules between heterogenous sources for effective analytics and reporting Process, clean and validate the integrity of data used for analysis Develop Python and Shell Scripts for data ingestion and stitching from external data sources for business insights Partner with data scientists to build scalable modeling features pipeline Work closely with analytics and data science teams to develop robust data pipeline and analytics visualization QUALIFICATIONS: Bachelor’s degree with 5+ years of experience OR Masters Degree with 3+ years of experience OR PhD with 0-2 years of experience Degree preferably in engineering, economics, statistics, computer science, or related quantitative field. Relevant professional experience with Big Data systems, pipelines and data processing Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field Practical hands-on experience with technologies like Apache Hadoop, Apache Pig, Apache Hive, Apache Sqoop & Apache Spark Experience working in Dataiku is a plus but not required Ability to understand API Specs, identify relevant API calls , extract data and implement data pipelines & SQL-friendly data structures Identify Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection Understanding on various distributed file formats such as Apache AVRO, Apache Parquet and common methods in data transformation Expertise in Python, Unix Shell scripting and Dependency driven job schedulers Expertise in Core JAVA, Oracle, Teradata and ANSI SQL Familiarity with rule based tools and APIs for multi stage data correlation on large data sets is a plus! Other job details: Hybrid or Onsite The annual base salary for this position ranges from $93,500.00 to $155,900.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. The annual base salary for this position in Tampa, FL ranges from $84,200.00 to $140,400.00. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Marketing and Market Research

AI Scientist, Deep Learning

New York · NY

Engineering and Information Technology

Absci is a generative AI drug creation company on a mission to create better biologics for patients, faster. We are the company unlocking the design of new antibodies on a computer from scratch, and we're just getting started. It will take a state-of-the-art wet lab, artificial Intelligence, and above all else a team of brilliant Unlimiters working together to achieve our vision of breakthrough therapeutics at the click of a button, for everyone. We are gritty, creative, and we are pushing the limits of science in a way that no one has done before because that's how we will save lives. Join us as we redefine what's possible. Absci is a global company with a state-of-the-art lab and headquarters in the beautiful Pacific Northwest US, ten minutes from Portland, Oregon, and its AI Research Lab in the heart of New York City. Check out this short video to learn more and see how #Unlimiters are creating drugs at the speed of AI. We are seeking Research Scientists to join our world-class Artificial Intelligence (AI) team and advance generative models for protein drug design. As a Research Scientist, you will develop advanced machine learning techniques that will be deployed for the creation of lifesaving drugs. We are looking for people who can draw on significant expertise in deep learning or related disciplines such as natural language processing, protein design, and computer vision, to develop innovative models that can learn from and generate new proteins. This position can be Remote, Hybrid or Onsite in Vancouver, WA, New York, New York or Belgrade, Serbia. Responsibilities Design, implement and evaluate cutting-edge generative models for protein designEffectively report and communicate research findings to AI and wet-lab teams across the companyDevelop sampling techniques for designing diverse proteinsCollaborate with data scientists and wet-lab biologists on the design and integration of wet-lab experimentsDeploy large-scale distributed training systems on our in-house A100-based supercomputer Qualifications PhD in Machine Learning or equivalent practical experiencePublications at major machine learning conferences & scientific journals, or extensive experience creating deep learning models in industryStrong Python programming skills, including with Numpy, Scipy, and Pandas, with emphasis on data science and machine learning applications.Experience designing and training complex deep learning models in PyTorch or related platformsDemonstrated ability to work collaboratively on projects with multiple contributor. Preferred (but not required): Industry experience developing and training deep learning models, preferably in the life-sciences domainBackground in structural biologyExperience with antibody / biologics engineeringNGS analysis experienceExperience with large-scale multi-node training on an HPC GPU clusterHands-on experience developing deep generative models for language modeling or geometric applications The salary range for this position is $150,000 - $200,000/year. Competitive equity package applies. Pay offered may vary considerably depending on job-related knowledge, skills, and experience, with an emphasis in machine learning, engineering, and modeling expertise. Absci offers highly competitive salaries and benefits, including medical, dental, vision insurance, unlimited vacation, parental leave, breakfast and lunch for onsite employees, employee assistance program, voluntary life and disability insurance, annual bonus potential, and 401(k) with a generous company match. We seek candidates who will dive into our creative company culture that's collaborative, multidisciplinary, and committed to a big vision for positive impact. We are defying conventions and innovating without boundaries. We are disrupting an industry with bold ideas and passionate pursuit of new possibilities. We are looking for original thinkers, creative scientists, and data-devoted gurus. Successful candidates will be excited to work in a dynamic environment and contribute as a key member of a project team. If this sounds good to you, we invite you to join us in our quest to redefine possible. Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any characteristic protected under applicable law. Absci will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Absci offers a dog-friendly work environment - bring your pup along for the ride.

Staff Data Science Engineer

New York · NY

Finance and Accounting/Auditing

Want to work for an awesome advertising company that is helping brands maximize their business growth? Our client is looking for a Staff Data Scientist to join their team. You will take the lead in developing and fine-tuning their predictive ML models. The role is hybrid on-site 3 days a week and 2 days remote. Their office is in Long Island City, NY. Comp is anywhere between $170-190K base + bonus Responsibilities include but are not limited to ML Model DevelopmentData Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimizationFeature EngineeringModel EvaluationDeployment and Integration: Deploy models and integrate them into our products through APIsResearch and Innovation Requirements Proven experience as a Data Scientist with a track record of developing and deploying predictive ML modelsExpertise in machine learning techniques, classification, clustering, and deep learningProficiency in data manipulation, feature engineering, and model evaluationStrong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-learn Benefits Unlimited vacation policyHybrid work opportunityMonthly Phone StipendComprehensive Medical, Dental, and Vision insurance options401(K) plan with matchingDog-friendly officeProfessional Development ProgramBonus Perk – $50/week Seamless allowance Job ID # 16008 Tagged as: Hybrid Remote/Office

Senior Full Stack Engineer

New York · NY

Engineering and Information Technology

The Mission: This is a critical and exciting time at Enigma. We are hearing from repeated customers that our product is creating tremendous value for them and is aligned perfectly with their needs. This creates an urgent need to showcase the power of our small business data as we scale our sales and marketing initiatives. We are looking for an experienced Senior Full Stack Engineer to join our Web team. You will play a central role in designing and building the front- and back-end systems that deliver rich interactions with our data and directly accelerate our sales process. The Role: As a Senior Full Stack Engineer on the Web team, you will work with talented software engineers, designers, product managers and data scientists to bring our small business data to life. Your team will own Enigma's website, documentation pages and console. Your impact will be measured by the technical quality of the software you build and the experiences you create. We're looking for someone who: Engages with software engineers, designers and product managers to create experiences that move a customer from discovery to evaluation to purchasePrides themselves on writing highly readable, thoroughly tested code (we use Python and React)Builds web systems end-to-end: from the AWS infrastructure to the front-end and everything in betweenThrives on a highly collaborative, cross-functional team that plays a critical role in the company's successIs driven to unlock the potential of data to positively impact the real world What makes this job interesting? Technical Challenge: you will use a broad range of technologies to build compelling customer experiences with low costs of ownership for a rapidly evolving productMultifaceted Role: at different points in your work, you'll need to think like a software engineer, a product designer and a data scientist and balance these perspectivesImpact: the user experiences you create will have a direct impact on our customers perception of the value our product delivers and the speed of the sales cycle Our ideal candidate: Has 5+ years of software engineering experience (2+ in a full-stack role)Enjoys collaborating with cross-functional partners (product managers, designers and data scientists) to deliver a unique user experience.Is driven to work with customers to have an impact on the real world Bonus points if you: Have a track record of building web applications for data products About Us: At Enigma, we're building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values - generosity, curiosity, ingenuity, & drive - guide everything we do from how we make our most important product decisions to how we work with and support one another on a daily basis. We're a team of curious, driven individuals with diverse backgrounds and skills, but we're all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you! We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Salary Range: $180,000-$240,000 A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we're creating together.

Data Analyst - Trust & Safety

New York · NY

Information Technology

We are seeking a highly skilled Data professional to join our Law Enforcement Analytics & Program team. In this role, you will be responsible for leveraging data and analytics to help ensure the safety and security of our users. You will work closely with cross-functional teams to identify and mitigate risks, develop and implement solutions, and measure the effectiveness of our efforts.The ideal candidate will have a strong background in data science, including experience with statistical modeling. You should also have excellent communication skills and be able to collaborate effectively with both technical and non-technical stakeholders. If you are passionate about using data to make a positive impact on the world, we encourage you to apply for this exciting opportunity. Data Analyst - Trust & Safety Responsibilities: Statistical Analysis/Modeling - Leverages methods ranging from descriptive statistics to measurement models to answer exploratory and hypothesis-based questions to inform data-driven decisions. Leverages forecasting techniques to draw insights.Storytelling through Data - Leverages data to create business stories that are clearly and concisely communicated through a wide range of relevant communication and presentation tools and techniques decisions and drives actions.Data Integration - Extracts and combines data from disparate, often heterogeneous sources using various technologies in order to provide a unified view of the data.Developing metrics - Identifies metrics that reflect operational success and inform business objectives.Evaluates opportunities as they arise, based on impact analysis and business priorities.Programming - Develops data solutions optimized to solve complex business problems using scripting languages. Use scripting language for model development. Minimum Qualifications: Bachelor’s Degree in Computer Science related field5+ years of experience in Data Science field Preferred Qualifications: Master’s Degree in Computer Science related field8+ years of experience in Data Science field About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Senior Data Scientist

New York · NY

Engineering and Information Technology

What is Spade? Spade is building the next generation of fintech infrastructure by providing real-time merchant intelligence for the card ecosystem. We leverage a proprietary, ground-truth database to link any card transaction to a real merchant identity – providing granular merchant, category, and geolocation information. Spade leads the market in terms of merchant coverage, geolocation matching accuracy, and speed of transaction enrichment. Customers including Unit, Mercury, and Sardine trust Spade's data to authorize more transactions, prevent fraud, and build more innovative features. We're a fast growing, remote friendly, Series A company backed by industry experts and top tier investors (including a16z, Flourish Ventures, Y Combinator, and more). We're a small and mighty team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of opinion, background, and experience. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work. What will you be doing? Data plays a key role in our product – we derive valuable insights from vast proprietary data sets (with geographic, category, and merchant data covering 99.9% of all merchants in the United States). We are looking for a product-oriented data scientist passionate about using data to solve complex problems for our customers and team members. As a founding member of our data science team at Spade, you will have the opportunity to work on green-field data projects and play a key role in developing our product. You will: Ship high-impact and scalable data products that enhances Spade's customer experience by collaborating closely with technical and non-technical functions and balancing theoretical soundness and practicalityBuild top-tier merchant databases and low-latency APIs, leveraging techniques such as large-scale entity resolution models (including probabilistic models, embeddings, and clustering models)Use your understanding of customer needs, internal metrics, and deep knowledge of the broader ML ecosystem to uncover fresh possibilities within our merchant and transaction data sets to bring additional value to our customers and continuously improve on Spade's product suiteCreate advanced machine learning algorithms using Python, PySpark, Databricks, and cutting-edge technologies to streamline the preprocessing of batch data, enabling the efficient delivery and maintenance of data insights to production usersDesign and deploy end-to-end workflows and testing frameworks, orchestrating data pipelines that seamlessly integrate processed data into production systems What experience, skills, and qualifications are necessary? Must have: 5+ years industry experienceA Bachelor's degree in a relevant fieldFintech experience, specifically familiarity with payments-related data (e.g., card, debit, acquirer, and/or merchant data) and / or transaction data (e.g., card authorization and fraud prevention)Deep experience in machine learning, statistical algorithms, deep learning, and techniques related to entity resolutionFluency with Python, statistical / ML packages, and SQL queriesAbility to create compelling narratives with data that translate complex technical concepts and findings to non-technical stakeholders, employing data science tools and visualization techniques where relevantStrong problem-solving skills and ability to break down complex product and technical challenges into accurately estimated milestonesNice to have: A Master's or Ph.D. in data science, machine learning, statistics, or another quantitative fieldExperience with PySpark and DataBricks Why join Spade? Be a cultural founder. As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team – joining now comes with limited risk and unlimited upside.Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.Benefits include:Competitive compensation and equity packageFull medical, dental, and vision benefits for US-based employeesLife & short-term disability insuranceFlexible PTOEarly exercise programExtended post-termination exercise period401K for retirement planningHybrid team, with pet-friendly headquarters in NYCPaid parental leaveWork from home stipend Diversity & Inclusion at Spade: Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves. As part of our commitment to health and safety, Spade requires employees to be fully vaccinated against COVID-19 as permitted under applicable law. Salary Range: At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team. We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity. The anticipated cash salary range for this role is $150,000-$180,000, and an equity grant will also be provided.

Data Analyst - Trust & Safety

Austin · TX

Information Technology

We are seeking a highly skilled Data professional to join our Law Enforcement Analytics & Program team. In this role, you will be responsible for leveraging data and analytics to help ensure the safety and security of our users. You will work closely with cross-functional teams to identify and mitigate risks, develop and implement solutions, and measure the effectiveness of our efforts.The ideal candidate will have a strong background in data science, including experience with statistical modeling. You should also have excellent communication skills and be able to collaborate effectively with both technical and non-technical stakeholders. If you are passionate about using data to make a positive impact on the world, we encourage you to apply for this exciting opportunity. Data Analyst - Trust & Safety Responsibilities: Statistical Analysis/Modeling - Leverages methods ranging from descriptive statistics to measurement models to answer exploratory and hypothesis-based questions to inform data-driven decisions. Leverages forecasting techniques to draw insights.Storytelling through Data - Leverages data to create business stories that are clearly and concisely communicated through a wide range of relevant communication and presentation tools and techniques decisions and drives actions.Data Integration - Extracts and combines data from disparate, often heterogeneous sources using various technologies in order to provide a unified view of the data.Developing metrics - Identifies metrics that reflect operational success and inform business objectives.Evaluates opportunities as they arise, based on impact analysis and business priorities.Programming - Develops data solutions optimized to solve complex business problems using scripting languages. Use scripting language for model development. Minimum Qualifications: Bachelor’s Degree in Computer Science related field5+ years of experience in Data Science field Preferred Qualifications: Master’s Degree in Computer Science related field8+ years of experience in Data Science field About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Senior Applied Scientist, Artificial General Intelligence

New York · NY

Research, Science, and Engineering

Description The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs and multimodal systems. About The Team The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Seattle, WA, USA | Sunnyvale, CA, USA Basic Qualifications PhD, or Master's degree and 6+ years of applied research experience 5+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD in Computer Science, Electrical Engineering, Mathematics or related field Experience with LLMs and multimodal architectures Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Experience in patents or publications at top-tier peer-reviewed conferences or journals Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site. Company - Amazon.com Services LLC Job ID: A2540897

Chief Operating Officer

New York · United States

Management and Manufacturing

My client, a US Hotel chain with 20 properties across 5 US Metropoles and a rapidly scaling organisation, have a newly created COO/President role that they are looking to hire. Based in New York, where currently their largest concentration of Hotels sits, this role would also require extensive regional travel across their portfolio, including Miami, Washington DC, Los Angeles and New Orleans - my client are happy for this to be a work from home position, provided that they incumbent is NY based. The ideal candidate will be responsible for ensuring operational and standards excellence across the organization. Ideally my client is keen to talk to candidates currently in VP positions or similar, for any major flag, who are ready to elevate their career to what should be a natural and organic progression. Significant experience within the Hotel industry is non-negotiable for this position as is strong NYC union Hotel labor and relationship experience! As Chief Operating Officer (COO) within the hotel industry you will assume a senior executive role responsible for overseeing all operational aspects of hotel functions. With a comprehensive range of responsibilities, the COO plays a pivotal role in ensuring the seamless and effective operation of the hotel(s), serving as the bridge between the Hotel’s general managers and the CEO or Board of Directors, the COO directly or indirectly coordinates operational, commercial, administrative, and financial activities. Your primary goal will be to increase my client's organization's productivity, efficiency, and profitability. You will advise the CEO on key operational insights as well as provide coaching to employees. Responsibilities Produce annual operation forecasting report and strategyOversee and evaluate day-to-day operationsIdentify new market opportunities to accelerate growthPresent operational strategy recommendations to the CEO based on your market researchPropelling growth and business consolidation by elevating revenues, curbing costs, enhancing productivity, nurturing staff, maintaining and rejuvenating facilities, as well as updating systems, programs, and procedures.Supervising daily operations through the General Managers of diverse hotel establishments.Strategically optimizing economic and operational resources and available facilities to bolster business productivity.Achieving projected economic outcomes, in accordance with the annual revenue budget and business plan.Overseeing substantial equipment and tools acquisitions.Managing the replacement of equipment and operational supplies.Crafting reports for the CEO, underpinned by insights from the Finance Director and other divisions. These reports underpin informed decision-making and the calibration of strategies to meet targeted objectives. Qualifications 10 - 15 years' of executive experienceStrategic planning and business development experienceStrong written and verbal and presentation skillsStrong leadership and organizational skills

Data Analyst - Trust & Safety

Menlo Park · CA

Information Technology

We are seeking a highly skilled Data professional to join our Law Enforcement Analytics & Program team. In this role, you will be responsible for leveraging data and analytics to help ensure the safety and security of our users. You will work closely with cross-functional teams to identify and mitigate risks, develop and implement solutions, and measure the effectiveness of our efforts.The ideal candidate will have a strong background in data science, including experience with statistical modeling. You should also have excellent communication skills and be able to collaborate effectively with both technical and non-technical stakeholders. If you are passionate about using data to make a positive impact on the world, we encourage you to apply for this exciting opportunity. Data Analyst - Trust & Safety Responsibilities: Statistical Analysis/Modeling - Leverages methods ranging from descriptive statistics to measurement models to answer exploratory and hypothesis-based questions to inform data-driven decisions. Leverages forecasting techniques to draw insights.Storytelling through Data - Leverages data to create business stories that are clearly and concisely communicated through a wide range of relevant communication and presentation tools and techniques decisions and drives actions.Data Integration - Extracts and combines data from disparate, often heterogeneous sources using various technologies in order to provide a unified view of the data.Developing metrics - Identifies metrics that reflect operational success and inform business objectives.Evaluates opportunities as they arise, based on impact analysis and business priorities.Programming - Develops data solutions optimized to solve complex business problems using scripting languages. Use scripting language for model development. Minimum Qualifications: Bachelor’s Degree in Computer Science related field5+ years of experience in Data Science field Preferred Qualifications: Master’s Degree in Computer Science related field8+ years of experience in Data Science field About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Radiology Scheduler (Remote - 10:30am-7pm pacific shift)

United States

Administrative

Are you interested in pursuing a career that makes a social and sustainability impact in the world while working with a team that truly cares and supports each other to drive client success? Consider Royal…Royal Solutions Group is "A leader in healthcare operations technology who leads the market in patient and provider experience". Royal, headquartered in White Plains, NY, is a leading provider of software and services to the health care industry, delivering a seamless suite of solutions that is focused on patient, provider and operational workflows, optimizing engagement in all areas of the exam life cycle. Royal's leadership team is comprised of technology, business and clinical operations backgrounds with deep industry expertise in Healthcare, Data Security, Financial Services and Information Technology. Royal Solutions is a small business. We are customer-centric, supportive, collaborative, and professional. Work from Home in the United States. Need candidates ideally in Alaska, pacific or mountain time zone. Our Scheduling Coordinators are responsible for scheduling and pre-registering appropriate procedures with callers at any outpatient offices for all the modalities over the phone in a friendly and professional manner. Communication with outside offices, provider offices, insurance companies, and patients must be professional and courteous. Schedulers must maintain a professional presence including being at your desk at home and ready to handle high call volumes. Knowledge of commonly-used concepts, practices, and procedures within the call center/healthcare environment. Relies on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision. The Scheduler position assumes other responsibilities as assigned by the manager. We provide all hardware to you to work from home. Responsibilities White Glove Service - first impression for patient experience.Superior customer service in virtual teamwork environment and communicating with medical facilities and patients.Manage multiple phone lines with high productivity/volume.Assists patients in scheduling appropriate procedures, using correct CPT code based on referral.Assists in referring physician offices in scheduling patients for appropriate procedures.Responsible for obtaining complete and accurate clinical, demographic, and financial information during the scheduling process.Provides the customer with prep and other appointment instructions.Manage and direct calls using a centralized phone system for all Royal Solutions Medical Imaging-affiliated outpatient sites.10:30am-7pm pacific shift M-F Requirements Experience managing multiple phone lines, practicing superior customer service in a virtual teamwork environment, and communicating professionally with other medical facilities.Maintain confidentiality of all centers and patient information at all times, as required by facility policy and HIPAA guidelines.Radiology Scheduling experience requiredOne year or more of clinical/scheduling experienceSafe and secure dedicated home office with high speed internetHigh School Diploma or GEDIdeal candidates from Hawaii, Alaska and west coastUSA Only Additional information Extra awesome A formal medical terminology class or equivalent medical office experience