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Job Description SENIOR DATA SCIENTIST DART PROGRAM POSTED:9/3/2025 ABOUT CJA The New York City Criminal Justice Agency (CJA) is a not-for-profit service and research organization that operates in partnership with the New York City Mayor's Office of Criminal Justice. CJA is the City's main pretrial services agency, combining operations, pilot projects, and research under one roof. CJA utilizes procedural justice practices to provide pretrial services to over 100,000 arrested annually in New York City. Information collected about these arrestees and subsequent case processing is maintained in the agency's internal and externally shared database systems, which are used to conduct descriptive and evaluation research on arrestee characteristics, case processing and court outcomes, and on issues and potential reforms to criminal justice policy in New York City. CJA's programs operate in the criminal courts and detention facilities 24 hours a day seven days a week within the 5 boroughs of NYC, employing over 300 employees, citywide. PROGRAM SUMMARY DART – We lead research and analytics that turn CJA's unparalleled justice system data into insights that drive policy and practice. Drawing on over 100,000 annual face-to-face interviews and comprehensive data feeds from police, courts, and corrections, we analyze complex trends, evaluate emerging policies, and apply causal techniques to assess the impact of policy and applied interventions. Through rigorous analysis, compelling visualizations, and impactful publications, we illuminate the workings of New York City's justice system and advance new lines of inquiry to shape a fairer, more effective system. POSITION SUMMARY As a Senior Data Scientist, you will deliver advanced analytics that drive policy and practice. You'll combine expertise in causal inference—including RCTs and quasi-experimental methods—with policy relevant data analysis, predictive modeling, and modern machine learning techniques. You'll collaborate with DART and IT staff to build pipelines and scalable workflows, conduct exploratory and statistical analyses, and translate complex findings into intuitive and actionable products—policy briefs, interactive dashboards, and applied ML tools. You'll collaborate with a supportive team to drive projects from scoping through delivery. PRIMARY RESPONSIBILITIES • Analytics & Data Science – Conduct exploratory data analysis and build descriptive and predictive models to support policy and practice. Create reproducible workflows in Python, R, and SQL, and maintain well-documented Jupyter Notebooks. Develop dashboards, visualizations, and data tools to make analyses accessible to technical and non-technical stakeholders., • Causal Research & Evaluation – Design and oversee rigorous causal studies, including RCTs and quasi-experimental designs. Define evaluation frameworks, identify appropriate counterfactuals, and ensure methodological rigor in estimating policy and operational impacts. Conduct power and sample size calculations to optimize the design of RCTs and quasi-experimental studies. Translate findings from causal analyses into actionable recommendations that inform policy and practice., • Research Dissemination and Communication – Deliver policy briefs, presentations, and interactive dashboards that translate complex findings into actionable, decision-ready evidence., • Partner with city agencies, nonprofits, and justice system stakeholders to scope projects and align research with operational needs. Support public and stakeholder engagement by presenting results at conferences, policy forums, and cross-agency working groups. QUALIFICATIONS • Experience: 5+ years of experience in applied data science, analytics, or research roles, ideally in policy or civic tech. A strong portfolio of self-directed analytic work is expected. Experience in the justice system is a plus., • Education: A postgraduate degree (Master's or PhD) in statistics, economics, data science, computational social science, or a related quantitative field., • Technical Expertise: • Strong proficiency in Python or R for data manipulation, analysis, and modeling (Python preferred)., • Experience conducting causal inference and advanced econometric analyses, including RCTs, DiD, IV, ITS, matching, and synthetic control., • Advanced statistical techniques and modern machine learning methods for predictive modeling., • Experience working with relational databases (e.g. Microsoft SQL, PostgreSQL) and writing complex SQL queries., • Expertise in data wrangling and cleaning, including handling messy, incomplete, or complex administrative datasets, • Proven ability to translate complex analyses into clear, actionable insights for technical and non-technical stakeholders., • Experience integrating external data from APIs and common data formats like JSON, CSV, and Parquet, • Strong data storytelling skills, with experience creating or supporting compelling visualizations, dashboards, and policy briefs., • Proficiency with Jupyter Notebooks for data exploration, analysis, and presentation of results., • Familiarity with building reproducible pipelines and version-controlled workflows (Git/GitHub, CI/CD). • Problem-solving skills: Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround. Work collaboratively to identify and troubleshoot technical problems and find solutions., • Proven ability to collaborate with complex stakeholder relationships as well as technical and nontechnical staff., • Exceptional communication skills: A positive attitude and a customer-oriented approach are required as well as the ability to communicate clearly and effectively at all organizational levels and with stakeholders that are both highly technical and non-technical., • Problem-solving skills: Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround. Work collaboratively to identify and troubleshoot technical problems and find solutions. HOURS: Hybrid work schedule- 3 days a week in office/2 days work from home SALARY: Up to $140K yearly *Internal applicants must be 1 year in their current roles and in good standing (no disciplinary action within the last 90 days) to apply. BENEFITS: CJA offers a very generous benefit plan including health, dental and vision insurance, a comprehensive mental health and wellness (EAP) plan, four weeks' vacation, paid holidays and a retirement plan with employer matching contributions. CJA is also strongly committed to professional learning and development for its staff members and offers staff varied opportunities for learning and development through partnerships and vendor services for web based, in-person professional development training, as well as in-house job training and development. Only those candidates being considered will be contacted. CJA is seeking applicants who pursue professional development pathways by participating in educational opportunities, reading professional publications, maintaining professional networks, and engaging with professional associations The New York City Criminal Justice Agency is an Equal Opportunity Employer CJA is committed to creating a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, national origin, sex, gender identity, religion, sexual orientation, age, disability, parental status, veteran status, or any other protected status under applicable laws. We encourage individuals of all backgrounds to apply.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • 5-10 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionDescription: Data Analyst Full-Time Hybrid, New York City Who We Are: We believe in small businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations, and customer support to provide business owners with accelerated access to right-sized capital solutions. From working capital loans and merchant cash advances to lines of credit and business expansion loans, we offer a suite of financing products that can accommodate nearly any stage of business development or credit profile. Founded in 2010 with offices in Michigan, New York, and Arizona, we have provided access to over $1 billion to more than 20,000 small businesses nationwide. On top of being nominated as one of Crain’s 50 fastest growing companies in New York and making several appearances on the Inc. 500 list, Credibly is annually recognized for having one of the "Best Blogs For Small Businesses" by several media outlets. The Opportunity: The Data Analyst will join the Risk Analytics and Data Science organization, and will be responsible for delivering trusted analytics to drive the business forward. The successful candidate will be a business-oriented, collaborative, high-energy data analyst who is passionate about working with business partners and bringing transparency into the data across the organization. What You Will Do: • Collaborate with the business to execute on identified opportunities by performing exploratory data analyses (EDAs), generating, and testing working hypotheses, preparing, and analyzing historical data and identifying patterns to drive revenue and cost savings., • Employ historical data/insights to make informed estimates in helping determine the direction of future trends for the business., • Effectively manage multiple assignments with challenging timelines within a collaborative environment., • Develop and maintain reports that provide insights across the business., • Support the efforts of leadership to ensure our data and analyses are trusted by helping to champion high standards, transparency, and regular communication with the business., • Keep up with the latest trends in advanced analytics., • Explore and test additional/new data sources that may add value. Who You Are: • At least a Bachelor’s degree in a quantitative field such as computer science, data science, statistics, or physics., • 1+ years of experience as a data analyst/data scientist in industry., • Working knowledge of Python, SQL and Microsoft Office tools., • Strong analytical, critical thinking, and creative problem-solving skills., • Excellent written and verbal communication skills, and proven presentation skills. Ability to relay information to senior management in a succinct, insightful way., • Flexible and productive in a hybrid working arrangement. What Makes You Special: • At least a Masters Degree in a quantitative field., • Experience in Banking or risk management., • Working knowledge of Statistical methodologies., • Experience in data engineering., • Experience in developing Machine Learning and AI solutions. How You Will Benefit: • Flexible working conditions, via hybrid remote/in-office work, • Generous PTO package, • 8 Paid Company Holidays, • Paid Parental Leave, Bereavement, and Jury Duty, • 401k with company match (and 100% vesting after 2 years), • Medical insurance through BCBSM or BCN, • Dental and Vision provided by BCBS, • HSA and FSA available, including LPFSA and Dependent Care, • Company paid life insurance and short-term disability, • Additional optional insurancesRequirements:

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description Position Summary: The Economic Data Scientist will be part of the Economy, Strategy & Finance (ESF) Center of The Conference Board, contributing to the development and delivery of flagship economic data products, including global business cycle indicators and labor market analytics tools. The role will work across several ESF teams, particularly Global Indicators and Labor Markets, to support the Center's initiatives to enhance its industry-recognized indices and data products. The ideal Economic Data Scientist candidate brings a strong data science skillset, experience working with large, complex datasets, and applying statistical modeling. The Economic Data Scientist will use R, Python, and other tools to streamline data flows; apply predictive modeling and machine learning techniques to improve analytical capabilities; and help ideate new data products. They will work on ESF's core products, including The Conference Board's Consumer Confidence Index, Leading Economic Indicators, and Help Wanted OnLine its proprietary database of job postings. The role also supports ESF's insights creation for use by ESF's experts to generate written content, webcasts, and briefings for a business executive audience. Accountabilities: Lead projects to support data improvement initiatives across Global Indicators and Labor Markets teams, including the Leading Economic Indices, the Consumer Confidence Index, and the Help Wanted Online program, ensuring data quality, methodological rigor, and timely delivery. • Partner with Senior Economists to design and automate the processes behind ESF's data releases, aiming to improve efficiency and accuracy, while seeking ways to expand capabilities that enhance depth of products and insights., • Apply advanced statistical and machine learning techniques to enhance global indicators, business cycle tools, and forecasting products., • Support data infrastructure modernization, contributing to plans regarding server migration, data architecture design, and implementation., • Conduct data evaluation, including assessments of vendor datasets and external data sources, ensuring consistency, quality, and alignment with evolving product and research needs., • Communicate findings to Senior Economists, presenting a cohesive narrative through data sources, methodology, and visualizations., • Master's degree required in economics, data science, or related quantitative field., • This position is data-intensive and the candidate must have experience working in a data-intensive research environment with data analysis software (e.g., R, Python, SAS, SQL, Excel) to independently organize and manipulate large datasets, draw insights, and create visualizations. Experience with Tableau or other data visualization tools is preferred., • Prior experience with machine learning techniques and natural language processing methods such as sentiment analysis, is also preferred., • Knowledge of the US economy and the labor market is necessary., • Experience writing for non-academic audiences (i.e., business); strong writing, communication, and presentation skills are preferred.

Job DescriptionFounded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR fxUNqxPx8q

Job Description Data Scientist (Risk Intelligence) Location: Onsite New York, NY (5 days/week) Position Type: Full-Time (Permanent) Work Policy: In-person only (Relocation stipend available; visa sponsorship available) Start Timeline: ASAP About This is a foundational data science hire within the Risk & Underwriting team. The Data Scientist will focus on developing and productionizing underwriting models, building risk dashboards, and driving portfolio analytics to support scaling of credit offerings while maintaining strong portfolio performance. Why join * Join a high-impact role as one of the first data science hires in a fintech startup * Build risk intelligence systems powering credit decisions for e-commerce businesses * Collaborate closely with underwriting and product teams in a fast-paced, high-output environment * Opportunity to expand scope into broader intelligence/AI functions over time * Relocation stipend and visa sponsorship available for exceptional candidates Compensation * Base Salary: $140,000 - $170,000 (flexible for senior candidates) * Equity: 0.05% - 0.10% Tech environment * Languages: SQL, Python (or R) * Tools: Hex, Looker, Mode, Metabase * Focus areas: Underwriting models, credit risk analytics, portfolio monitoring, dashboards Role summary The Data Scientist will partner with underwriting to design, implement, and optimize credit risk models, monitoring tools, and automation workflows. The role requires a mix of strong technical skills, financial acumen, and the ability to operate as a generalist in a lean startup environment. Responsibilities * Build dashboards, monitoring tools, and risk models * Automate underwriting and credit assessment workflows * Conduct back-testing and model tuning * Collaborate with underwriting to translate business needs into quantitative insights * Expand scope to broader intelligence/AI functions as the company grows Must-have qualifications * 4+ years of experience in data science, preferably in credit, underwriting, or financial services * Proficiency in SQL and Python (or R) * Strong background in statistics, machine learning, and data modeling * Experience with dashboards and data visualization tools (e.g., Hex, Looker, Mode, Metabase) * Strong communication skills and ability to operate in a generalist startup environment * Ability to work onsite in NYC 5 days/week (relocation possible) Preferred qualifications * Experience in e-commerce lending or fintech startups with lending products * Exposure to both fintech and traditional banking environments * Understanding of financial KPIs and ecommerce/fintech datasets * Experience working closely with credit/risk or lending teams * Signals of excellence such as: * Prior experience building end-to-end solutions (side projects, startups, internal tools) * Past founder or community-building experience * Roles with high ownership or multiple hats * Experience in high-output environments such as Cash App, Square, or other top fintechs Additional desired experience * Willingness to work long hours as needed in person in San Francisco * Experience with Docker, Kubernetes, and Terraform * Experience building for scale, ideally at companies where products are self-hosted by customers * Experience with hyperscalers (AWS, GCP, Azure), with a preference for multi-cloud experience * 5+ years of experience as a DevOps or Infrastructure Engineer * Ability to work closely with customers, demonstrating patience and friendliness * High attention to detail * High agency and strong propensity to learn * B.S. in Computer Science or equivalent degree, undergraduate or higher * Experience at Series B+ stage companies or later, or smaller companies with very large-scale products * Experience with Linux systems is a plus * Strong background in computer networking

Job Description Job Title: Senior Data Scientist, Agentic AI Location: New York, NY office (hybrid - 3 days a week onsite) Main Skills: Data Scientist Agentic AI, Modeling, Statistics, Python, insurance data, (records, claims) This is a potential contract to hire role. Client is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Client does business. Client’s Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Client created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Client’s transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Senior Data Scientist, Agentic AI—an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Client operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Client’s products and services. You will: Key Responsibilities • Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences., • Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions., • Build autonomous agents and multi-step reasoning systems that integrate with Client’s core platforms to deliver measurable business impact., • Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment., • Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment., • Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI., • Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions., • Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across Client. You are: • Passionate about pushing the frontier of AI while applying it to solve real-world business problems., • Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries., • A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment., • Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. You have: • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field, • 3+ years of hands-on AI modeling/development experience, • Strong theoretical foundations in probability & statistics, • Strong programming skills in Python including PyTorch, Tensorflow, LangGraph, • Solid background in machine learning algorithms, optimization, and statistical modeling, • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level, • Excellent analytical and problem-solving abilities with superb attention to detail, • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Company DescriptionData Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.Data Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.

Job DescriptionThe Role We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders. Primary Responsibilities • Develop, refine, and validate climate and wildfire models to support underwriting and risk management., • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences., • Collaborate closely with cross-functional teams, including engineering and underwriting., • Stay up-to-date with the latest climate science research, methodologies, and industry trends., • Design and implement Python-based analytical tools and models., • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness. Essential Experience of a Successful Candidate • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field., • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains., • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools., • Hands-on experience with climate and wildfire modeling techniques and tools., • Excellent communication skills, capable of simplifying complex models for diverse audiences., • Experience presenting at conferences or pitching scientific models to industry stakeholders., • Familiarity with machine learning techniques for climate data analysis., • Knowledge of geospatial data analysis and visualization frameworks., • Be part of a mission-driven company tackling real-world challenges., • Work with a passionate and innovative team in a collaborative environment., • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry., • Competitive salary ranging from $120,000 to $160,000 depending on experience and qualifications., • Benefits package includes remote work flexibility, with tools to support productive work from home.

Job Description Senior Data Scientist: Remote/Hybrid NYC metro area ($175-200k) Our company is on a mission to redefine the live event experience on a global scale. We're on the lookout for an accomplished Senior Data Scientist to join our Data Engineering & Analytics team. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within our dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of our consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About The Role As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Remote/Hybrid in NYC Metro Area What You'll Do • Build and understand modeling related to one of four possible areas including Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team Required Skills: • 5-9 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs Salary Range: $175,000—$200K + Bonuses

Job Description Machine Learning Researcher / Data Scientist Global Investment Firm J Harlan Group is currently conducting a search for a Machine Learning Researcher / Data Scientist at a prominent Global Investment Firm in NYC. Machine learning researchers at the firm create novel machine learning approaches to financial applications. They utilize their creativity and innovation to help the firm trade profitably in markets around the globe. All types of learning and AI, including deep learning and statistical learning, are potentially relevant. You'll work with smart, talented people across their business to create groundbreaking, next-generation data intensive machine learning applications. You'll be involved, hands-on, through the entire cycle. They will expect you to be agile / to lead / to think outside the box. In return, they'll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that's how we help our clients succeed. Principal Responsibilities: The team is tasked with building next generation of advanced statistical and machine learning methods to produce models and prescriptive data that result in better decisions by their Portfolio Managers, Analysts, and Traders, Quants and / or applications. Specific responsibilities include designing, implementing, testing experimentally and scaling up new models for forecasting asset prices, developing new tradeable signals, and other financial applications. The ideal candidate would have a background and a deep passion for working with machine learning techniques within the investment community. • Strong computer science and technical background with exceptionally, creative “Hands-On” High Impact Machine Learning Research and Applications experience - All types of learning and AI, including deep learning and statistical learning, are potentially relevant., • Experience and a high level of interest in financial markets (with prior experience a big plus) – candidates from both industry and academia with broad experience across multiple fields of Machine Learning is a plus., • Ability to work in an open collaborative and highly charged investment environment., • Strong desire to contribute and build a business – not just solve novel problems. About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focuses on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: We are seeking a Senior Product Data Scientist to take a leadership role in shaping product strategy through data-driven insights. As a key partner to product managers, engineers, and business stakeholders, you will own experimentation frameworks, influence key product decisions, and drive the development of actionable metrics that guide long-term success. This role requires a mix of product thinking, statistical expertise, and leadership to ensure our product decisions are based on sound data principles. As a senior team member, you will also mentor junior data scientists and contribute to best practices in experimentation, KPI development, and data storytelling. The ideal candidate has hands-on experience in a mobile-first marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment. Above & Beyond: The Impact You'll Make: • Product Leadership: Partner with product and business teams to shape roadmaps, define success metrics, and ensure a data-driven approach to decision-making., • Experimentation & Statistical Testing: Lead the design, execution, and analysis of A/B tests and other causal inference methods to measure the impact of product changes., • KPI Development & Product Analytics: Define, monitor, and iterate on product success metrics to track growth, engagement, and retention., • Data-Driven Storytelling: Translate complex statistical analyses into clear narratives that influence product strategy and executive decision-making., • Cross-Functional Influence: Act as a thought leader in product analytics, helping to prioritize features and experiments based on rigorous data insights., • Data Infrastructure & Enablement: Work with data engineers to build scalable analytics solutions and empower product teams with self-serve tools., • Mentorship & Best Practices: Guide junior data scientists and analysts, fostering a strong culture of data literacy and experimentation within the organization. One Team One Dream: What We Need to Work Together: • Education: Bachelor's, Master's, or PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering)., • Experience: 5+ years in data science, product analytics, or a related field, with a strong track record of influencing product decisions through data.Technical Skills:, • Experimentation: Expertise in A/B testing, causal inference, and experimental design (e.g., power analysis, sample size estimation, multivariate testing). Switchback testing is a plus., • Measurement and Tracking: Experience with third-party tracking tools, such as Adobe Analytics, Segment, or mParticle and experience with supporting tagging and tracking for Analytics purposes., • Conversion Funnels: Deep understanding of marketplace user conversion funnels and experience in diagnosing growth opportunities within them., • Programming and Tooling: Proficient in Python/R and SQL for data analysis, model building, and reporting., • Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma. Leadership & Communication Skills:, • Strategy: Ability to own and drive product analytics strategy, proactively identifying opportunities for impact., • Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, and fan happiness to achieve broader business and marketing goals., • Communication: Clear communicator capable of presenting technical findings and strategic recommendations to stakeholders across different teams.Problem-Solving and Decision-Making:, • Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure., • Proactive: Proactive in identifying challenges and implementing solutions and embodies a proactive and "Always be Curious" mindset. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company offsites and meet-ups, • Wellness programs

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for a Data Scientist to join our Directory team, ensuring that Garner maintains a best-in-class understanding of physicians and healthcare facilities across the U.S. Where you will work: This is a hybrid role and will require up to 3 days in Garner's New York City office. What you will do: • Build and maintain data-driven algorithms, including AI and machine learning models, to improve provider recommendations and the member search experience., • Enhance Garner's understanding of the provider landscape by evaluating and integrating data from multiple sources., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 1-3 years professional experience in data science, product analytics, and/or healthcare., • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders., • Experience with Python and SQL., • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success., • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system.

Job DescriptionCompany Overview:Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises — from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic — we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others. Job Summary:The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations. The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions. The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs. The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available. This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data tobe accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work. Responsibilities: • Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods, • Identify and/or assist development of AI/ML methods and/or practices; promote them to agency’s data analysts, data engineers, data scientists, and researchers through trainings and/or reports, • Contribute to development of health equity-focused data products, • Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large, • Collaborate with internal and external researchers and analysts for various research projects, • Author reports, presentations, and scientific papers based on analyses Qualifications:, • A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms, • High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow, • Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks), • Experience in the development and deployment of foundation models, • Advanced knowledge and experience in data wrangling, analysis, and visualization, • Knowledge of public health research and operations, including health equity, • Experience developing user interfaces and dashboards, working with geospatial data a plus, • Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies., • This is a temporary grant-funded position ending in November 2027 At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Hybrid 35 Hours Per Week

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Data Scientist - Crypto - this is a fully remote role for US based candidates or Europe based candidates (if they can work EST hours). We are the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Data Scientist to join our team. Reporting directly to the Head of Economic Risk & Strategy, you will play a critical role in advancing our modeling capabilities and delivering powerful data insights across decentralized finance. In this role, you will collaborate with protocol teams and internal stakeholders to support strategic research, simulation, and risk analysis. Responsibilities: * Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example) * Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into our simulation platform * Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research * Explore new algorithms and techniques to surface insights in DeFi security and optimizations * Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others * Collaborate with cross-functional teams to ensure high-quality outputs. * Contribute to the continuous improvement and innovation of our platform. Requirements: * 4+ years of professional experience in Data Science – a must * Strong trading background required, including experience building models and deep understanding of derivatives, pricing, financial markets, and systems * Previous experience in FinTech * Solid understanding of machine learning techniques and algorithms * Hands-on experience with Python and relevant data science packages * You love working in small, dynamic, fast-paced teams that encourage you to learn and grow * Strong problem-solving abilities and a passion for DeFi and blockchain technology Preferred Qualifications: * Bonus points for prior web3 experience using Dune or writing smart contracts * Bonus points for DeFi knowledge * Broader understanding of crypto and blockchain ecosystem – a plus * Demonstrated ability to work in a fast-paced, collaborative environment Compensation & Package Our Perks: * Flexible hybrid work environment. * Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays. * 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents. * FSA or HSA (pending on selected health insurance). * Generous 401k plan with employer match. * Thoughtful Parental Leave Policy. * Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP. * Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. * Pre-tax Commuter Benefits. * Salary and seniority level commensurate with experience (range: $130-150K USD)

Job Description This position is posted by Jobgether on behalf of Trepp, Inc. We are currently looking for a Senior Data Scientist in New York (USA). This role offers an exciting opportunity to lead the design, development, and deployment of advanced machine learning and AI models with real business impact. The Senior Data Scientist will work across product, engineering, and business teams to identify opportunities for data-driven decision-making and to implement scalable solutions in production systems. This position emphasizes strategic thinking, technical leadership, and mentoring of junior colleagues, while driving innovation in AI, deep learning, and analytics. Ideal candidates thrive in a collaborative environment, translating complex data insights into actionable recommendations for executives and stakeholders. Flexibility is offered with partial remote work options, and the role encourages continuous learning in emerging AI technologies. Accountabilities · Lead end-to-end development and deployment of machine learning and AI models for production systems. · Define project objectives, scope, methodologies, and ensure alignment with business goals. · Identify data-driven opportunities and develop innovative solutions to enhance decision-making. · Oversee model performance monitoring, implementing strategies for continuous improvement. · Present insights and recommendations to executive leadership and key stakeholders. · Promote best practices in data science methodologies, coding standards, and reproducibility. · Mentor junior and mid-level data scientists, fostering collaboration and knowledge sharing. · Partner with engineering, product, and business teams to integrate AI solutions into core offerings. Requirements · Bachelor’s degree in Data Science or related field with 5+ years of progressive experience, or Master’s degree with 3+ years of relevant experience. · 3+ years of experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. · 3+ years of experience with cloud computing platforms (AWS, Azure) for ML/AI deployment. · 3+ years of experience with supervised and unsupervised learning algorithms including regression, classification, clustering, and time series forecasting. · 2+ years of experience designing, fine-tuning, and deploying GenAI models. · 2+ years of experience leading data science projects and mentoring team members. · Knowledge of machine learning, commercial mortgage-backed securities, commercial real estate, commercial lending, or collateralized loan obligations is a plus. · Strong analytical, problem-solving, and communication skills. Benefits · Competitive base salary starting at $169,541 per year. · Opportunities for remote work (up to 2 days per week). · Professional growth through mentoring and cross-functional collaboration. · Exposure to cutting-edge AI, deep learning, and big data technologies. · Supportive, collaborative, and knowledge-sharing work environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Job Description mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist (Identity & Attribution) Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity., • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy., • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph. About You: • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking), • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job DescriptionAbout Fusemachines Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we leverage our global AI expertise to drive innovation and transformation for businesses worldwide. This is a remote role. 6 months contract with us and after that will be hired as a full time employee directly with the client. About the role As a Data Scientist on our team, you will contribute to new product development in a collaborative, small-team environment, writing production code for both run-time and build-time applications. You will help design and implement data-driven solutions for complex business challenges by discovering, extracting, and modeling knowledge from large-scale natural language datasets. Your work will involve prototyping new ideas and collaborating with data scientists, product designers, data engineers, front-end developers, and domain experts to drive innovation. This role offers the opportunity to work in a fast-paced, start-up-like culture while leveraging the resources and scale of an established company. Responsibilities • Develop and implement LLM-based applications for various use cases., • Evaluate and maintain data assets and training/evaluation datasets., • Design and build pipelines for preprocessing, annotating, and managing large-scale text datasets., • Collaborate with domain experts to understand requirements and ensure ML applications align with business needs., • Conduct experiments and evaluate model performance to drive continuous improvements., • Fine-tune and deploy large language models(LLMs) to enhance their performance on specialized tasks., • Interface with other technical teams to finalize requirements., • Work closely with development teams to understand complex product requirements and translate them into scalable software solutions, • Implement development best practices, including coding standards, code reviews, and production-ready implementations. Requirements • Practical experience with large language models (LLMs), prompt engineering, fine-tuning RAG-based applications, and benchmarking using frameworks like LangChain., • Strong background in natural language processing (NLP) with experience using spaCy, word2vec, Flair, BERT., • Formal training in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms., • Proficiency in Python and experience working with ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers., • Experience with cloud platforms such as AWS, GCP, or Azure., • Understanding of data modeling principles and complex data architectures., • Experience working with relational and NoSQL databases and vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch, OpenSearch)., • Familiarity with distributed computing frameworks like Spark, Scala, or Ray (highly preferred)., • Knowledge of API development, containerization (Docker, Kubernetes), and ML deployment (highly preferred)., • Hands-on experience with ML Ops/AI Ops, including experiment tracking tools like LangFuse and DVC., • Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face TransformersPreferred Qualifications, • MS in Data Science, Computer Science, Statistics, Machine Learning, or related field NXhNfVyKHF

Job DescriptionCompany Description About A Place for Mom: A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion. Our employees live the company values every day: • Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy., • Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow., • Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team., • Win The Right Way: We see organizational integrity as the foundation for how we operate., • Embrace Change: We innovate and constantly evolve.Job Description The Position: A Place for Mom is seeking a Senior Product Manager, Data Products to help build the future of our senior care data ecosystem. As a member of our growing Data Product team, this role will define and drive how we systematically collect, organize, and package our internal proprietary data to maximize value for the families we serve and our partners within the senior care space. What you will do: In this role, you will oversee the next evolution of A Place for Mom’s data capabilities, developing the vision for an updated foundation of data capable of powering a diverse and growing set of internal- and external-facing use cases. You will partner closely with a wide range of key stakeholders - from senior leadership, to marketing and sales domain owners, to product and technical vertical owners - to define and execute on an ambitious roadmap to democratize insights and unlock new sources of value for our clients and customers. Specific responsibilities include: • Articulation of the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics, • Collaboration with stakeholders to scope and develop net-new curated datasets optimized for key internal use cases (e.g. forecasting, user profiles, targeted outreach, etc.), • Providing clear, well-scoped requirements to data engineering and platform teams to enable timely delivery of updated functionality, • Partnership with analysts and MLEs to identify opportunities to optimize data organization for cost-effectiveness, accuracy, and time-to-insight, • Evangelization of self-service data tools - including AI-powered solutions - to a variety of technical and non-technical stakeholders, • Proactive communication to senior leadership of progress and identified value-add of data investments, • Work with business unit teams to identify, evaluate, and productize data monetization opportunitiesQualifications, • Bachelor’s degree (Master’s preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science, • 5+ years of experience in platform product management, with preference for candidates with past data product roles and/or prior background as a data scientist or data engineer, • Demonstrated track record of taking products from ideation through successful implementation (especially internal tools or data-intensive B2B solutions), • Expertise with SQL and data modeling strongly preferred, • Aptitude for defining relevant, actionable KPIs for assessing the health and utility of foundational/infrastructure products, • Excellence in communicating technical information and quantitative insights to leadership audiences, • Comfort operating in high-pace environment and with evangelizing new processes to stakeholders of varying technical skill levels Additional Information Compensation • Base Salary: $150,000 to $175,000 + 10% Bonus, • Benefits:, • 401(k) plus match, • Dental insurance, • Health insurance, • Vision Insurance #LI-KT1 #LI-REMOTE

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Specialty Care group. This role will lead technical innovation to drive targeted outreach and scale Specialty Care utilization, leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve Specialty Care member engagement and health outcomes. This is a full-time, remote-eligible position, reporting into the Associate Director of Data Science under the CFO. What you'll do: • Lead Analytical Strategy for Specialty Care: Own the end-to-end analytical strategy to increase Specialty Care utilization. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify and segment at-risk members for high-acuity conditions. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes., • Drive Rapid Experimentation and Outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale targeted member outreach strategies. Some projects will require quasi-experimental approaches to measuring impact. You will analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach., • Act as an Embedded Technical Leader: Serve as the dedicated data science lead within the Specialty Care product pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis., • Incremental increase to Speciality Care utilization, • Number of at-risk members identified, • 5+ years of professional data science experience, • Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods., • Proficiency with SQL and Python, • Experience with data modeling via dbt or similar tools, • Experience working with data visualization and BI tools (e.g., Looker, Hex), • Facility with a product development process in the context of a software product, • Excellent verbal and written communication skills to guide and make recommendations to business partners, • Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams., • Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment, • Proven success at navigating ambiguous problem areas and learning new approaches, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. TTC*: Denver: $276,000.00 - $299,000 New York: $303,000 - $329,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). We hire employees anywhere within the United States and account for geography when determining base salary. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous experimental design, statistical validation, and performance benchmarking of ML algorithms, with emphasis on clinical relevance and generalizability., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support AI-based regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow); experience building reproducible ML pipelines and handling large-scale datasets., • Ability to translate complex clinical requirements into machine learning solutions., • Proven ability to independently drive several complex projects from concept to deployment, including cross-functional coordination., • 2+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, with familiarity in De Novo, 510(k), and PCCP pathways., • Hands-on experience with advanced ML topics: vision transformers, longitudinal modeling, ML-based survival analysis, semi-/self-supervised learning, continual learning, etc., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

As a Senior Data Scientist in our Compliance Technology & Data Strategy function, you will play a key role in shaping our approach to governance, independent validation, and continuous improvement of our financial crime compliance (FCC) systems and data platforms. Senior Data Scientist, Compliance T

Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.Advances in AI and drug discovery are creating more candidate drugs than the industry can progress due to high costs and time of clinical trials.Formation Bio partners, acquires, or in-li

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! We are looking for a Senior AI Sales Engineer to join our customer-facing team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey This position is based in New York, NY, and open to candidates in Boston, MA, and the Washington, D.C. area. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Deliver compelling demos, workshops, and proof-of-concepts (POCs) across the H2O.ai platform (Driverless AI, Feature Store, EnterpriseGPT, Wave, h2oGPT, LLM Studio, ML Ops, and open-source tools)., • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure production readiness., • Work closely with Product Management to influence product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Strong hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Ability to design and explain AI/ML solution architectures to both technical and executive stakeholders., • Strong programming skills in Python (preferred), with familiarity in R or Java., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out from the Crowd, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).Why H2O.ai?, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. Powered by JazzHR e7ARFcG1o6

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description This role requires eligibility to work in the USA for a US company, and infrequent travel may be required Position Overview: As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models. The Senior / Lead ML Tooling Software Engineer position sits in our Software Engineering team; you will interface with peer software engineers, domain experts, data scientists, machine learning engineers, product designers, and product marketers. You will work at the intersection of our leading AI research activities and software engineering to advance our product roadmap. As the Lead ML Tooling Software Engineer, you will: • Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models, • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that “just work” for how DS and MLE approach GeoSpatial problems in the real world, • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables, • Close the feedback loop with Solutions, Engineering and Innovation teams to deliver customer experience and market insights, • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs, • Lead client-oriented API design and development, • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases, • Actively participate to improve engineering standards, tooling, and processes, • Leverage your experience in early stage startups to make informed decisions that balance speed vs quality, • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo), • At least three or more years of recent work experience building around Earth Observation use-cases, • Technical ownership of key areas of a Product, such as one or two critical services, • Demonstrable experience with Python, Pandas, PyTorch, GDAL, • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing, • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing, • Exceptional interpersonal communication, both written and oral, • Independence and ownership of work in an entrepreneurial, start-up environment, • Applying Geospatial libraries and datasets at scale for user-facing applications, • Developing enterprise PaaS and SaaS products, • Working in early-stage startup environments Please provide a link to your github repo in your CV. We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person). We offer a casual and inclusive working environment, competitive compensation, and great benefits. We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets. Salary range for candidates depending upon level of experience and location: $170,000 - $200,000. Atlas AI is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. This role requires eligibility to work in the USA for a US company, and infrequent travel may be required. Perks & Benefits • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company., • Atlas AI is a 100% remote company with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania)., • Competitive compensation & equity., • Outsized responsibilities & professional development budget., • Opportunities to travel to conferences, events and other industry-led symposiums., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance including dependents (exact benefits vary by region)., • Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)., • Paid parental leave (exact benefits vary by region)., • Home office setup allowance, co-working space stipend, and company MacBook., • Monthly wellness benefit. 9iXYRdTL5O