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Job Description 🚗 Why us? Your car and your home are the two most expensive things you’ll ever own — and the hardest to manage. At Jerry.ai, we’re building the first super app to help everyday Americans take control of both. From insurance and financing to repairs and real estate, we’re reimagining what it means to own and maintain your car and home. This is a $5 trillion+ problem — and we’re the only company tackling it end to end. 2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article. 💻 About the opportunity We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! We have a fast-paced startup culture that empowers you to move quickly, test, iterate, and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. You’ll work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Meta, Amazon, ByteDance, Square, Robinhood and more. 🫵 How you will make an impact * Develop and architect complex machine learning models to address critical business challenges and drive company-wide strategic initiatives * Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance * Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks * Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems * Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.ai 🚀 Requirements * PhD in Physics or related field * 5+ years of experience building and deploying models from scratch. * Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. * Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. * Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $180K - $240K

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: $218,500.00 - $253,000.00) New York: $240,000 - $278,000 Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ 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, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • 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

Job Description Amalgamated Bank is seeking a Data Governance/Scientist to join the Information Technology Team that will play a crucial supporting role to the Data Governance team. This position will report to our Head of Governance and is expected to report in-office 3 days per week. By joining our team, you’ll be joining a Bank that believes that maintaining a diverse and inclusive workplace where everyone feels valued and respected is essential for us to grow as a company. We are dedicated to building a more equitable world in our everyday practices by embracing the values of our employees and customers. Essential Job Functions: Data Governance & Quality: • Develop and implement data governance frameworks, ensuring compliance with banking regulations., • Establish data quality metrics, validation rules, and anomaly detection to maintain data integrity., • Ensure adherence to GDPR, CCPA, GLBA, and other financial data regulations., • Utilize machine learning models and AI techniques to enhance data validation, detect fraud, and automate governance processes., • Perform advanced statistical analyses to optimize data management strategies., • Work closely with data engineers, IT, compliance officers, and executives to align data governance strategies with business goals., • Advocate for a data-driven culture, promoting best practices in data stewardship across the organization. Knowledge, Skills and Experience Requirements: Master’s degree in Data Science, Computer Science, Statistics, Finance, or a related field. • Proficiency in SQL, Python, or R for data analysis and governance automation., • Experience with data governance tools (Unity Catalog, Purview, or others)., • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and database management., • Strong problem-solving skills with the ability to interpret complex data governance requirements., • Excellent communication skills to collaborate across departments and explain data policies to stakeholders. Preferred Qualifications: • Experience in banking or financial services data governance., • Understanding of risk management and compliance frameworks in finance., • Certifications such as CDMP (Certified Data Management Professional) or DAMA are a plus. Our job titles may span more than one career level. The starting base salary for this role is between $155,000.00 – $170,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”. Search Firm Representatives- Please Read Carefully Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

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.

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Job Description Columbia University’s Department of Medicine invites applications for a research position in the rank of Associate Research Scientist at The Columbia University Irving Medical Center in the Division of Molecular Medicine in the Laboratory of Dr. Ira Tabas. The position includes both laboratory and translational research. Summary Description: Our laboratory studies the cellular biology of cardiometabolic disease, with an emphasis on the molecular-cellular mechanisms of metabolic-dysfunction-associated steatohepatitis (MASH) and advanced atherosclerosis and the links between these processes. We are seeking a talented Associate Research Scientist with interest and expertise in molecular-cellular mechanisms related to MASH and cardiometabolic disease, with a focus of advanced atherosclerotic lesion development. Priority will be given to candidates who have experience in these areas. The selected candidate will conduct research on the following projects: • MASH: We study the roles of different liver cell types in MASH development and progression, with current investigations focused on (a) links between MASH liver fibrosis and atherosclerosis; (b) new mechanistic insight into human genetic risk factors for MASH fibrosis, with current focus on MBOAT7 and CASP8; (c) mechanisms of efferocytosis in MASH; and (d) new therapeutic strategies to prevent steatosis-to-MASH progression based on our findings., • Advanced atherosclerosis: We have focused on integrated processes that promote advanced plaque progression, with the current focus on defective clearance of the apoptotic cells (efferocytosis) and impaired inflammation resolution. In the efferocytosis field, we study a process called continual efferocytosis, whereby a macrophage ingests and degrades multiple apoptotic cells over a short time period, requiring reprogramming of vesicular trafficking pathways and metabolism of molecules from degraded apoptotic cells. The inflammation resolution project investigates cellular mechanisms of the resolution process and its therapeutic potential, e.g., through the use of atherosclerosis-targeted nanoparticles packaged with resolution mediators. An exciting new area in the lab involves identifying specific mechanistic links between impaired resolution pathways and clonal hematopoiesis of indeterminate potential (CHIP), which is a major risk factor for atherosclerosis and coronary artery disease in humans over the age of 60 Qualifications Minimum Degree Required: Ph.D., MD or both Minimum Qualifications: 2.5 years post-graduation for PhD graduates, first author high-quality publications published in first-rate journals and experience in the research areas outlined above. Salary Range $79,327 – $100,000 Link to apply- apply.interfolio.com/172456 Application Instructions Special Instructions to the Applicant: To apply, please submit a CV and three references. Optional Documents: • Cover Letter, • Dissertation Abstract, • List of References, • Writing Sample/Publication 1 Writing Sample/Publication 2, • Research Abstract Equal Employment Opportunity Statement Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

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 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 Hi, we're Oscar. We're hiring a Staff Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As a Staff Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Director, AI. Work Location: This is a hybrid role in our New York office (in Hudson Square). You will work part of the time in the office and part of the time remote / work-from-home. #LI-Hybrid Pay Transparency: The base pay for this role is: $192,000 - $252,000 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang). At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of artificial intelligence during the interview process at Oscar. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Notice to Job Applicants.

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 DescriptionAbout the Client Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next-generation platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety. About the Role The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams. Responsibilities * Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency. * Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model. * Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources. * Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources. * Apply CI/CD and version control best practices within analytics codebases. * Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners. Requirements Required: * At least 3 years of experience in analytics or data engineering. * Strong proficiency with SQL and dbt. * Bachelor's degree in a technical or quantitative field. * Hands-on experience with cloud platforms (especially Snowflake and/or AWS). * Competency in Python for data wrangling and feature generation. * Familiarity with AI/ML workflows and deployment pipelines. * Commitment to clean, modular, and well-documented code using software engineering best practices. * Comfort working in a dynamic, fast-paced startup setting. * Clear communication skills and the ability to advocate for robust data practices. * Passion for advancing healthcare through trustworthy and scalable data infrastructure. Preferred: * Experience with healthcare data standards such as HL7, FHIR, or DICOM. * Background in academic medical research. * Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries. * Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines. Benefits & Why Join * Competitive compensation package: base salary in the $145K–$160K range plus equity. * Opportunity to work at the forefront of AI and healthcare innovation. * Collaborative and mission-driven team environment. * Flexibility to work remotely or from the company’s office in New York. * A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.

Job Description Role Description: Are you looking for a new career opportunity that will allow you to develop and use cutting-edge AI technologies to solve challenging NLP problems while making a positive impact on the world? If so, we would love to hear from you! Dyania Health is looking for NLP Applied Scientists to help us transform the way in which machines process biomedical information, and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, and a proven track record of delivery under tight deadlines. Requirements Required Qualifications: • Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering), • 2+ years experience in building and deploying ML models, • Experience in applying transformer-based deep-learning techniques to challenging NLP problems, • Fluency in Python and experience with Python-based ML frameworks such as PyTorch, • Publications in top-tier NLP conferences, • Background in classical computational linguistics, • Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources, • Work closely with product, UX, and clinical teams to prototype and test new functionality, • Analyze performance results and convey your analyses to relevant stakeholders • We lead with empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.

Job DescriptionAbout the Role We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries. What We're Looking For We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills. What You'll Do • Design and implement statistical models and machine learning algorithms to detect fraudulent patterns., • Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications., • Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals., • Collaborate closely with engineering and product teams to bring data science solutions into production., • 1 - 5 years of experience working on data science projects in fraud/risk modeling, cybersecurity, or machine learning., • Salary: $120k - $160k, • Equity: 0.25% - 0.5%, • Visa sponsorship is not available for this role. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

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 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 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 eDNA Post-Doctoral Associate OceanX About OceanX: OceanX is a nonprofit working to unlock the ocean's sustainable potential. Through a dual focus on science and education, we're building a new paradigm where humanity and the ocean mutually thrive. Our approach is fueled by exploration, leveraging advanced research, multimedia educational programs, cross-sector partnerships, and advanced technology to help transform how people understand and value the ocean. Our work strives to fortify biodiversity and increase the sustainable use of ocean resources to help ensure the ocean remains a foundation for human wellbeing and potential. OceanX is a nonprofit operating program of Dalio Philanthropies. For more information, visit and follow OceanX on Facebook, Instagram, Twitter, X, and LinkedIn. Position Summary: OceanX is seeking a post-doctoral associate in the field of marine eDNA and meta genomics. The position involves work in a laboratory at sea on the research vessel OceanXplorer. The position would require performing nucleic acid sequencing and genome assembly from samples (water, soil, organisms, etc.) collected at sea during international expeditions. When not working on the vessel, the position would entail data analysis at home, in a New York City office or at a collaborating laboratory, domestically or abroad. Experience in marine eDNA purification and analysis, genome assembly and analysis are required. Ability to work independently and with international scientists aboard a research vessel is a must. The position comes with unique access to a range of exploration opportunities aboard an advanced research vessel including submersibles, ROVs, CTDs and a SCUBA diving platform. It is expected that the scientist would develop, execute and publish their scientific work in leading, peer-reviewed scientific journals. OceanX is an entrepreneurial environment which values team players who can manage priorities and workstreams simultaneously. To thrive and succeed within our unique culture and work environment, you must demonstrate humility, innate curiosity, and openness to new ideas/approaches. You also must be hard working, composed and goal oriented. Everyone working with OceanX is expected to be honest, open to giving and receiving objective feedback, constantly striving for self-improvement, and committed to the pursuit of excellence. Position Type: • This is a two-year contract position, with the possibility of renewal after the two-year term, • Note: This position requires spending approximately 50% of working time aboard the vessel, • Develop scientific projects within the field of environmental DNA in the marine environment in collaboration with the OceanX Science Program Director and Vice-Chair/Chief Science Officer, • Collect and analyze samples and data at-sea under scope of mission and projects as-developed with Science Program Director, • Utilize laboratory facilities and equipment on board the OceanXplorer, maintain an inventory of consumables required and/or used to execute project objectives, • Collaborate on board OceanXplorer with guest scientific teams and ship-based teams (ROV, Sub, Science) as-directed by the Science Program Officer to achieve project sampling goals and data requirements, • Professional Experience:, • PhD in molecular biology and genomics, • Ability to work and thrive in an entrepreneurial, rapidly evolving environment, with significant ambiguity, • Ability to communicate effectively in written and oral communications, • Strong project management capabilities, • Proven track record of taking initiative, with the ability to multi-task, collaborate with various team members, and conduct oneself in a highly professional manner when working with both internal and external colleagues., • Personal Attributes:, • Determined, resourceful and practical. An independent, self-starter, with a "roll up your sleeves" attitude and strong work ethic, • Agility, with a track record of getting things done, • Organized, reliable, and meticulous, • Ability to prioritize, meet tight deadlines, anticipate needs, and maintain high quality work, • Strong interpersonal and communication skills (written and verbal), • Comfortable with ambiguity, • Maintains high standards, • Highly collaborative, • General curiosity and passion for the Ocean, • Other Requirements:, • Must be willing and able to live and work aboard the OceanXplorer for prolonged deployments at sea Compensation: Compensation for this role is in the range of USD $90,000–$100,000.

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