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As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. As a Research Scientist III on this team you will have the opportunity to spearhead a brand new initiative that will design and create hiring experiences. We're seeking a scientific leader with expertise in survey methodologies, psychometrics, experimental design, and advanced statistical analysis. You'll work with state-of-the-art research tools, leveraging AI and machine learning algorithms to solve complex challenges in survey methodology and data analysis. You should be comfortable identifying and framing new research challenges that require scientific advances at the product level. You'll work closely with senior technical leaders within the team to deliver research-driven insights and solutions. Key job responsibilities • Apply your expertise in psychometrics to ensure the validity and reliability of our measurement instruments, • Utilize advanced statistical techniques to analyze complex datasets, analyze open text feedback, uncover meaningful patterns, and derive actionable insights., • Design and conduct experiments to test new measurement methods and improve the precision of our customer experience metrics, • Explore emerging technologies and innovative methodologies to enhance experience measurement while maintaining Amazon's commitment to scientific integrity, • Translate complex research findings into compelling, actionable strategies and influence technical and business decisions at the product level, • Write impactful documents that distill intricate scientific concepts into clear, persuasive communications for diverse audiences, including senior business leaders, • Actively mentor and develop other scientists while playing an active role in the scientific community About the team Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. AWS Solutions As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • PhD, • 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience, • Experience communicating qualitative research methods and findings to non-qualitative researchers, • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products, • Knowledge of a scripting language (Python, R, etc.), • Experience contributing to the creation and implementation of high-quality, high-volume recruiting plans, • PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, • Experience converting research studies into tangible real-world changes, • Experience with AI/ML technologies, • Experience in practical work applying ML to solve complex problems for large scale applications, • Experience with enterprise IT application work that includes software development or DevOps engineering, • Experience collaborating with UX, Product, and technical partners, • Publication record in top-tier IO Psych, Organizational Behavior, Management, or AI/ML conferences/journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to production and monitoring. Our data scientists are end-to-end owners. A track record of owning a project end-to-end (from research to production), and partnership with a cross-functional te

Senior/Lead Contributor For Data & Ai Team. We're expanding our Data & AI team and looking for a senior/lead contributor who's fluent in classical ML and experienced shipping LLM-powered agents into production.

Our client is seeking a senior data scientist for a first-of-its-kind sales analytics platform, combining a proprietary, active-learning network with applications that are ready to use, data-backed, and built on predictive analyses. Job Description: Sr Data Scientist. The ideal candidate will have a

Forsyth Barnes is recruiting on behalf of a major retailer for a Senior Data Scientist to strengthen their enterprise data and analytics capability. Extract, prepare, and manipulate structured and unstructured data in large-scale big data environments. This is a hands-on role building advanced machi

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations., • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Experience: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. This is an onsite position, with flexibility, based in our New York City office. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Opportunity for a Senior Data Scientist (LLM/NLP Focus) Do you thrive at the intersection of language, logic, and learning systems? A confidential team is seeking a seasoned builder of smart systems — someone who speaks fluent Python and thinks in embeddings. This is a hands-on role for someone who’s been deep in the weeds of GenAI, LLMs, and NLP — and wants to push boundaries in applied research with real-world impact. What You’ll Be Doing • Crafting custom models for stream and batch pipelines — think GenAI, LLMs, NLP, and ML., • Working across ingestion, retrieval, RAG, fine-tuning, and prompt design., • Partnering with internal teams to make sure your models don’t just work — they work well. Who You’ll Be Working With • Product thinkers, engineers, and ML folks who care about performance and precision., • A collaborative crew that values experimentation and iteration. What You Bring • Advanced degree in a technical field (CompSci, Stats, Linguistics, etc.)., • Experience with tuning open-source LLMs and staying current with open-source trends., • 8+ years wrangling structured/unstructured data for insights and automation., • 3+ years hands-on with Python and libraries like Hugging Face, PyTorch, TensorFlow., • Deep experience with transformer-based NLP models and semantic search. Logistics & Perks • Hybrid setup — you’ll need to be able to drop into a workspace in the Northeast US (NY/NJ area)., • Compensation: $150k–$210k base + bonus + benefits + sign-on

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 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 are looking for a Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 2-5 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., • Strong Python and SQL skills., • 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.Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.Technologies we use:

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: We are seeking an experienced and business-savvy Senior Data Analyst to join our team. In this role, you will be a key partner to our product, engineering, operations and business teams, delivering actionable insights that drive strategic decisions. As Senior Data Analyst, you will report directly to the Chief Product Officer and co-founder, with a direct line into engineering. You will be responsible for diving deep into our vast array of data to understand user behavior and marketplace dynamics. In addition, you will build and maintain data pipelines and dashboards, influence strategy on how data models can drive value in the product, and more. The ideal candidate is a self-starter who is comfortable with the entire data lifecycle, from extraction and transformation to analysis, presentation and modeling. Responsibilities: • Partner with stakeholders across the company to understand their business needs and translate them into data-driven questions and analyses., • Design, build, and maintain scalable and reliable data pipelines and ETL/ELT processes to support our analytics needs., • Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and opportunities for growth., • Develop and maintain statistical models to forecast key metrics and predict user or partner behavior and outcomes., • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide visibility into business performance., • Partner with product and business teams to drive consensus on definitions and standardization of metrics., • Communicate findings and recommendations to both technical and non-technical audiences in a clear and concise manner., • Collaborate with product and engineering to apply statistical and machine learning concepts to solve business problems., • 5+ years of experience in a data analyst, business intelligence analyst, data scientist, or similar role., • Proven experience in designing, building, and maintaining data pipelines., • Strong proficiency in SQL and experience with at least one programming language for data analysis (e.g., Python, R)., • Experience with data visualization tools such as Looker, Tableau, Power BI, or similar., • Solid understanding of data warehousing concepts and ETL/ELT processes., • Familiarity with data science concepts and machine learning techniques., • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams., • Strong business acumen and the ability to translate data insights into actionable business recommendations., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range: $125,000 - $145,000 Salary Range$175,000—$225,000 USD

Job Description PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment. This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key. Key Responsibilities • Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results., • Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration., • Build and optimize workflows using frameworks such as LangChain, • Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts., • Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy., • Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback., • Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production., • Collaborate with cross-functional teams to integrate generative outputs into client-facing applications. Requirements • Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 3+ years of experience developing and deploying machine learning pipelines in production., • 1+ years of experience building Generative AI or LLM-based applications., • Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs)., • Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics., • Experience designing and implementing RAG architectures., • Hands-on experience with Databricks, MLflow, or similar platforms., • Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits.Preferred Qualifications, • Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains., • Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI., • Familiarity with fine-tuning or custom instruction tuning of LLMs. Benefits and Compensation • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential.

Job Description Why Join Us At Paradromics Inc., we’re redefining what’s possible in neurotechnology to restore independence and transform lives. As a leader in brain–computer interface (BCI) innovation, Paradromics is developing high-data-rate neural communication systems that empower people with paralysis, sensory loss, and neurological conditions to reconnect with the world. Join a mission-driven team where data, science, and technology converge and where your analytical expertise will directly contribute to building life-changing breakthroughs in human communication. About Paradromics Paradromics Inc. is a pioneering medical technology company dedicated to developing implantable brain–computer interfaces that restore communication and functional independence for people affected by severe neurological conditions. Our work sits at the intersection of neuroscience, engineering, and data science. Headquartered in Austin, Texas, Paradromics operates with a global, remote-first mindset empowering top talent to contribute from anywhere. Our culture thrives on innovation, collaboration, and scientific excellence, where data-driven insights accelerate our mission to build a more connected future. Position Summary The Senior Data Scientist will play a key role in advancing Paradromics’ data science capabilities by designing and deploying machine learning and signal processing models that drive our neurotechnology systems. You will work with large-scale neural and behavioral datasets to uncover insights, develop predictive models, and enhance the performance of our brain–computer interface (BCI) platforms. The ideal candidate is a hands-on problem solver who thrives in a collaborative, cross-functional environment passionate about applying data science to unlock new frontiers in neuroscience and human health. Key Responsibilities • Design, develop, and optimize machine learning models and statistical algorithms to analyze complex neural and behavioral data., • Collaborate with neuroscientists, software engineers, and hardware teams to integrate data-driven solutions into product development., • Build scalable data pipelines and tools for data acquisition, analysis, and visualization., • Conduct exploratory data analysis and interpret high-frequency neural signals to identify actionable patterns., • Support development of real-time decoding algorithms for BCI applications., • Ensure scientific rigor, reproducibility, and documentation across all analytical workflows., • Communicate findings effectively to both technical and non-technical stakeholders., • Contribute to long-term data infrastructure and strategic planning for advanced AI applications. Qualifications • Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, Electrical Engineering, Neuroscience, or a related field., • 5–8 years of professional experience in data science, machine learning, or computational modeling, preferably within biomedical, neuroscience, or high-tech environments., • Proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch)., • Strong foundation in statistics, signal processing, and machine learning methodologies., • Experience working with time-series, biosignal, or neural data., • Strong skills in data visualization and communication (Matplotlib, Plotly, or Dash)., • Proven ability to work independently and collaboratively in a remote, cross-functional environment. Preferred Qualifications • Ph.D. in Data Science, Computational Neuroscience, Electrical Engineering, or related discipline., • Experience with neural recording technologies (EEG, ECoG, or intracortical data)., • Familiarity with cloud computing platforms (AWS, GCP, or Azure)., • Knowledge of deep learning architectures for decoding or pattern recognition tasks., • Prior experience in neurotechnology, medical devices, or healthcare R&D. Work Environment • Fully remote position (U.S.-based), with flexibility for collaboration across time zones., • Occasional travel may be required for team meetings, research collaborations, or conferences.

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 Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering 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 Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processingBonus points, • Advanced degree in a quantitative or technical field This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. 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. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. 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. 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 DescriptionSalary: USD $120,000 $165,000, depending on experience and location About SPUN SPUN is a startup NGO with a mission to map and protect the mycorrhizal fungal networks that regulate Earth's climate and ecosystems. These fungi draw down approximately 13 billion tons of CO2 annually through extensive underground networks. Since our founding in 2021, we've built a global data platform to make these invisible networks measurable. Through our Underground Explorers program and network of over 400 Science Associates across more than 80 countries with the majority in the Global South we generate high-resolution biodiversity maps and ML-powered tools that integrate mycorrhizal data into climate, conservation, restoration, and land management decisions. Our work spans from laboratory research, data science, and robotics to locally-led field applications, informing everything from carbon accounting methodologies to protected area design and restoration protocols. With strong backing from leading foundations and growing momentum in international policy circles, we're at an inflection point where strategic partnerships will be critical to driving the adoption of mycorrhizal data into climate strategies, conservation agendas, and restoration efforts worldwide. The Opportunity We're seeking an entrepreneurial and strategic partnership leader to identify, cultivate, and formalize relationships that accelerate the integration of mycorrhizal science into real-world environmental practice. This is a senior role requiring someone who can independently represent SPUN's vision and value proposition to potential partners across conservation organizations, restoration practitioners, agricultural initiatives, carbon market developers, biodiversity monitoring programs, climate-focused institutions, and technology companies. The ideal candidate will serve as both architect and ambassador designing partnership frameworks that create mutual value to build SPUN as an essential partner for organizations working at the intersection of climate, biodiversity, and sustainable land use. Key Responsibilities Partnership Development & Execution • Proactively identify and qualify potential partners in conservation, restoration, agriculture, climate mitigation, biodiversity monitoring and reporting, technology, and related sectors, • Lead initial conversations and needs assessments to determine alignment and mutual value, • Design partnership frameworks that leverage SPUN's scientific capabilities (data, methodologies, research networks) to address partner priorities, • Draft, negotiate, and finalize partnership agreements, MOUs, and collaborative frameworks, • Independently represent SPUN in high-level partnership discussions with senior leaders from NGOs, corporations, technology companies, and international organizations, • Manage a pipeline of partnership opportunities from initial contact through formalization and implementation, • Track and communicate partnership outcomes, particularly regarding data integration and on-the-ground impact Strategic Integration • Work closely with the Chief Strategy & Operations Officer to align partnership strategy with organizational priorities, • Translate SPUN's scientific outputs into compelling value propositions for different partner types, • Identify opportunities to integrate mycorrhizal data and methodologies into existing frameworks (e.g., MRV systems, carbon accounting standards, conservation protocols, biodiversity monitoring and reporting systems, technology platforms), • Explore technology partnerships that could enhance data accessibility, analysis, or application, • Collaborate with internal teams to ensure partnership deliverables are feasible and well-executed, • Monitor partnership performance and adapt strategies based on outcomes Organizational Representation & Development • Contribute to funding proposals where partnership expertise strengthens the narrative, • Support board engagement on partnership strategy and key opportunities, • Represent SPUN at conferences, convenings, and public forums, • Help position SPUN for larger-scale funding opportunities that require demonstrated partnership capacity, • Identify partnership structures that align with organizational sustainability goals Required Qualifications • 7+ years of professional experience in partnership development, business development, or similar roles, preferably in environmental science, conservation, or climate sectors, • Scientific foundation: Minimum of Bachelor's degree in environmental science, ecology, biology, or related field; demonstrated ability to understand and communicate complex scientific concepts, • Proven track record of independently developing and formalizing meaningful partnerships or strategic agreements, ideally in environmental or scientific sectors, • Deep knowledge of at least two of the following: ecosystem services valuation, conservation finance, regenerative agriculture, climate policy frameworks, carbon markets/MRV, biodiversity monitoring and reporting frameworks, environmental data systems, • Exceptional communication skills: ability to tailor messaging for diverse audiences from scientists to corporate executives to foundation officers to board members, • Contract and negotiation experience: comfortable drafting and negotiating partnership terms, • Senior-level presence: can credibly represent organizational strategy in high-level conversations without supervision, • Self-directed and entrepreneurial: thrives in a fast-paced, startup-like environment with evolving priorities, • Comfort with public speaking: able to represent SPUN at conferences, panels, and partner events Preferred Qualifications • Master's degree or PhD in relevant field, • Experience working at the intersection of scientific research and commercial/policy applications, • Existing network in conservation, climate, sustainable agriculture, or environmental technology sectors, • Track record of contributing to successful grant proposals, • Experience with international partnerships, particularly in the Global South, • Familiarity with biodiversity conservation frameworks and climate commitments (e.g., CBD, UNFCCC, Paris Agreement), • Understanding of Indigenous rights and community-based conservation approaches, • Experience evaluating or implementing environmental data platforms or technologies, • Experience with biodiversity assessment and monitoring protocols What Success Looks Like Success in this role means establishing SPUN as the essential partner for organizations seeking to integrate underground ecosystem considerations into their work whether they're conservation organizations designing protected areas, restoration practitioners planning interventions, or policymakers developing climate strategies. You'll build a partnership portfolio where SPUN data demonstrably transforms on-the-ground practice, creating replicable models that can scale our impact. We'll define specific metrics, timelines, and milestones collaboratively based on your strategic assessment of opportunities and our organizational priorities. Reporting & Team This role reports to the Chief Strategy & Operations Officer and will work closely with the Executive Director & Chief Scientist, and SPUN's board of prominent leaders from conservation, climate, finance, and policy sectors. This position will regularly engage with board members on partnership strategy and key opportunities. Why Join SPUN At SPUN, we know that taking care of our team means empowering them to do their best work. Our benefits are designed to support health, well-being, growth, and balance across our globally distributed team. Heres what you can expect when you join us: • Comprehensive Health Coverage: 100% of medical, dental, and vision premiums covered for employees, plus dependent coverage support., • Wellness & Lifestyle Support: Annual health stipend, flexible spending account (for US-based employees), monthly work-from-home allowance, and wellness days built into your year., • Generous Time Off: Minimum of 25 vacation days per year (plus local holidays), unlimited paid time off as needed, sick leave, and wellness days to recharge., • Volunteer Days: Paid time each year to contribute your skills and energy to causes you care about., • Professional Growth: Annual professional development allowance to invest in your learning, skills, and career progression., • Workspace & Tools: Hardware allowance to get you set up and annual workspace allowance to create a productive environment wherever you are., • Celebrating You: Annual birthday meal stipend so you can celebrate on us. Location & Compensation This is a full-time remote role. While we welcome applicants from anywhere, we have a preference for candidates based in or near New York City or London. The position involves regular travel, roughly 1520% of the time. The salary range for this role is USD $120,000 $165,000, depending on experience and location. SPUN applies a global compensation multiplier to ensure equity across regions for candidates based outside the United States, adjusting pay according to local market and cost-of-living benchmarks. Compensation aligns with SPUNs hybrid positioning as an environmental NGO and data science startup, and is commensurate with experience. Performance-based bonuses may be available for exceptional partnership outcomes. To Apply: Please complete the application form in BambooHR and submit the following materials: • A resume, • A cover letter outlining your relevant experience and approach to partnership development. In your cover letter, please describe a partnership youve ledfrom initial identification to successful implementationhighlighting the key inflection points and how you navigated them. At SPUN, we embrace diversity as a fundamental pillar of our mission to protect underground ecosystems. Our commitment to decolonizing science is dependent on the diversity of knowledge and experience on our team and among our partners across the globe. We are committed to creating an inclusive environment where all individuals, regardless of their race, ethnicity, gender identity, sexual orientation, religion, age, disability, or background, feel valued, respected, and empowered to bring their authentic selves to work. We highly encourage individuals from traditionally underrepresented or repressed groups, including but not limited to women, LGBTQIA, individuals from the Global South, and individuals with Indigenous heritage, to apply to join our team at SPUN. To learn more about our company and culture, please visit our website

Job Description Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others: * Built In's 2025 Best Places to Work For In New York City * Built In’s 2024 & 2025 Best Startups to Work For In the U.S. * Built In’s 2023 - 2025 Best Startups to Work For In New York City * Fast Company’s Most Innovative Companies of 2022 * Business Insider’s Most Promising Consumer Startups 2022 * Forbes Fintech 50 2022 Role Overview: As a Data Scientist on our team you’ll be responsible for building/improving/maintaining the most important models which focus on this: * Identifying credit risk for our customers so that we can help more people in need when they need it * Optimizing our marketing spend by predicting LTV for our customers * Helping us reduce our overall churn by predicting customer churn and improving retention We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting broad analytics use cases when needed, you will work closely with our Product and Engineering teams. What you’ll be doing: * Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risks. * You’ll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decision process, getting to realize every bit of impact along the way. * Build, test and roll out other customer related models (such as Churn propensity and LTV prediction) which help us analyze and optimize our marketing and retention efforts. * Monitor the performance of the models in production and take appropriate actions when necessary * Analyze how our customer base is shifting as we grow and pinpoint areas we can improve. * Help our existing engineering and business teams track their goals, supporting the BI function from time to time to time with ad-hoc data analytics What you have: * Advanced degree in data science, statistics, computer science, or related field. * 3+ years of experience doing data science (modeling + analysis) * Proficiency in Python and in-depth understanding of SQL * Competent in machine learning principles and techniques * Experience in python, using industry standard modeling toolkits like sklearn, jupyterlab, pandas, matplotlib, statsmodels, etc. * Experience in writing complex SQL queries and the ability to put together multiple data sources together * Ability to get the train data, train the model, do hyper parameter tuning, perform validation, run the A/B test, do performance monitoring and model monitoring * Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models. * Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams) * ML model deployment in production experience is a plus * Technical presentation skills is a plus * Experience working in B2C, marketplace, lending, or subscription oriented business is a plus The anticipated annual base salary for this position is $165,000 - $190,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team * Medical, dental, and vision insurance * Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support * Monthly reimbursements to use against wifi and cell phone bills * Annual reimbursement for Learning & Development * Help hard working Americans build a brighter financial future * High-growth company * A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email . Disclosures: * For information on our data privacy policies, see the Brigit California Personnel Privacy Policy. * Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

Job DescriptionSenior Data Scientist - Economic Risk & DeFi Simulation Location: Remote - Preference for NYC - Will accept Remote USA & Europe to work EST hours Compensation: $130K - $150K We are the first automated, on-chain economic security system, trusted by leading protocols managing billions of dollars (including Aave, GMX, dYdX, and others). We provide actionable insights by analyzing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Senior Data Scientist to advance our modeling capabilities and deliver powerful data insights across decentralized finance. Reporting to the Head of Economic Risk & Strategy, you will play a critical role in strategic research, simulation, and risk analysis for market-leading protocols. This involves deep diving into complex crypto systems, modeling actor behavior, and translating intricate simulation results into intuitive, game-changing analytics for our institutional customers. Responsibilities: • Risk Modeling & Simulation: Lead innovative research to understand how different actors in the crypto market behave and interact, driving the modeling of such actors into our simulation platform., • Algorithm & Insight Generation: Explore new algorithms and techniques to surface insights in DeFi security and optimization, working alongside leading crypto engineers., • Data Visualization: Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to protocols like AAVE and dYdX., • Research & Presentation: Deep dive into market-leading protocols to drive game-changing insights and predictions. Present your findings both internally and externally, with the opportunity to publish industry-defining research., • Experience: 4+ years of professional experience in Data Science—a must., • Trading Background: Strong trading background required, including experience building models and a deep understanding of derivatives, pricing, financial markets, and systems., • FinTech Experience: Previous experience in the FinTech industry., • Technical Skills: Hands-on experience with Python and relevant data science packages, with a solid understanding of machine learning techniques and algorithms., • Mindset: Strong problem-solving abilities, a passion for DeFi and blockchain technology, and a love for working in small, dynamic, fast-paced teams. Preferred Qualifications (Bonus Points): • Prior Web3 experience using Dune or writing smart contracts., • Broader understanding of the crypto and blockchain ecosystem., • Compensation: Competitive salary ($130K - $150K) and seniority level commensurate with experience (Target range: $130,000–$150,000 USD)., • Work Flexibility: Flexible hybrid work environment and personalized professional development., • Health & Wellness: 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents., • FSA or HSA options., • Corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP)., • Retirement & Leave: Generous 401k plan with employer match and a thoughtful Parental Leave Policy., • Time Off: Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays., • Growth: Career growth opportunities at a rapidly expanding, global technology company in an emerging field. 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 DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. About The RoleVaro represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you’ll get the chance to develop innovative models that affect millions of users in the fintech space. You’ll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud detection, risk modeling, personalization, operations, and causal inference spaces. About the Data Science TeamVaro’s Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We’re a team of PhDs and ex-academics with a collegial work atmosphere. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop production-grade ML algorithms, such as fraud detection algorithms, recommender systems, dynamic credit risk models, and large-scale causal inference models, as well as processes for monitoring and analyzing their performance, • Leverage large data sets from different sources, and use modern modeling techniques such as tree-based methods, neural networks, and reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting, and other business outcomes, • Work with stakeholders throughout the organization to identify opportunities for driving business decisions or improving our product suite with ML, • Collaborate cross-functionally with the engineering team to deploy models and monitor outcomesYou’ll bring the following required skills and experiences, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc., • 4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor, including but not limited to relevant experience from your PhD research, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experienced in using Python for analysis, modeling, and visualization (numpy, pandas, scikit, nltk, matplotlib, etc.), • Ability to thrive in a fast-paced environment, • Strong bias for action and team player About VaroVaro launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country. Varo. A bank for all of us. Our Core Values- Customers First- Take Ownership- Respect- Stay Curious- Make it Better Learn more about Varo by following us:Facebook - - - Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings!Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 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. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. 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. 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., • Strong domain knowledge in CT imaging and its clinical applications. TTC*: Denver: $207,000 - $253,000 New York: $227,700 - $278,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. 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

Job Description About Us Applecart is the leading technology company creating a new category of "Decision Maker Marketing". The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them. We are hiring a Principal Data Scientist in our NYC office. About the Role: As a Principal Data Scientist on the Research and Insights team, you will collaborate with the VP of Data Science. Your primary focus will be on developing audience measurement metrics for programmatic advertising and social channels, contributing to Applecart's software platform for targeting, advertising, and evaluating the impact of campaigns. Key responsibilities include building and modeling audience measurement metrics, implementing research for crossplatform audience measurement and predictive products using campaign logs and audience data to optimize audience construction. What You'll Do • Develop and implement audience measurement metrics using machine learning algorithms, survey data, publicly available data, and experiments., • Design, develop, and deploy advanced statistical models to enhance advertising campaign measurement, planning, and targeting accuracy., • Lead the design and implementation of survey based approaches to build audience measurement metrics., • Communicate analytical concepts and results clearly to stakeholders., • Ensure data integrity and accuracy through rigorous model testing and validation., • Degree in a quantitative discipline (e.g., mathematics, statistics, computer science). An advanced degree is preferred but not required., • Deep understanding of machine learning, statistics, and data science., • 7+ years of experience in data science and/or modeling., • 7+ years in digital advertising., • Proficiency in Python (or R) and SQL., • Familiarity with survey research for audience measurement., • Strong experience in Spark is preferred., • Expertise in data wrangling and debugging machine learning systems., • Team-oriented, pragmatic, and able to build rapport., • Strong communication, writing, and critical thinking skills., • Experience in mentoring in data science, analytics, and predictive modeling. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $175,000-225,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 8X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As a Principal Data Scientist, you will serve as the senior technical leader within one of our leading Data Science teams, reporting to the Head of UK AI & Data Science. You will lead the design and execution of high-impact AI and data science initiatives, working hand-in-hand with embedded ML Engineers to move prototypes into production-ready pilots that deliver measurable business outcomes. This role is focused on delivery and applied impact: you will scope and frame complex business problems, develop advanced models, and collaborate with ML Engineers to ensure solutions are integrated, monitored, and piloted successfully. Once validated, you will work with the central engineering, data, and product teams, who own firm-wide platforms, scaling, and governance, to ensure smooth handoff and enterprise adoption. As the most senior data science IC, you will also mentor and guide a team of data scientists, set technical direction, represent TWG externally, and ensure all projects align with firm-wide priorities and responsible AI practices. Responsibilities: • Lead the design and delivery of flagship AI/ML projects that drive measurable value across financial services and adjacent sectors., • Act as senior technical authority on advanced methods (generative AI, causal inference, LLM-based analytics, RAG, simulation)., • Partner closely with embedded ML Engineers to operationalize models into production-ready pilots., • Collaborate with central engineering, data, and product teams to hand off successful pilots for scaling, governance, and long-term adoption., • Translate complex business challenges into enterprise-level AI solutions with tangible ROI., • Mentor and guide data scientists, fostering technical excellence, rigor, and responsible AI adoption., • Partner with senior stakeholders, including MDs and executive committees, to ensure AI initiatives align with priorities., • Represent TWG Global in external forums, universities, regulators, and partnerships with technology leaders., • Define and enforce standards for experimentation, reproducibility, and responsible AI., • 8+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects., • Deep expertise in advanced machine learning, causal inference, deep learning, and statistical modeling., • Demonstrated success leading end-to-end projects and influencing senior stakeholders., • Hands-on technical depth in Python (or R), cloud platforms, and modern ML frameworks., • Experience mentoring or leading small, high-performing teams., • PhD or equivalent advanced degree in Data Science, Statistics, Computer Science, or related quantitative discipline., • Experience using Palantir platforms (Foundry, AIP, Ontology) to develop and operationalize insights., • Familiarity with LLM application frameworks, vector databases, and knowledge graphs., • Publications in top-tier AI/ML or data science conferences/journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Contributions to the open-source data science/ML ecosystem (libraries, frameworks, widely adopted tools)., • Track record of thought leadership (invited talks, keynotes, conference leadership roles)., • Experience establishing standards for reproducibility, experimentation, and responsible AI. This is a hybrid position based in New York, NY or Santa Monica, CA. Fully remote candidates will not be considered. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionSalary: Position: Sr Data Scientist / AI engineer Location: New York, NY(Hybrid 3x in office) Employment Type: Contract-to-hire Contract Duration:1-2 years The Senior Data Scientist is responsible for the design and development of advanced generative, recommender and predictive models that will generate valuecreation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in thedomains of natural language processing, predictive analytics and information retrieval), as well as promoting and implementing data science best practices. Responsibilities: • Lead the design, development, validation, anddeployment of innovative, performant and scalable AIengines, applying rigorous testing to ensure alignmentwith business objectives., • Conduct advanced statistical analysis to provideactionable insights, identify trends, and measureperformance., • Apply A/B testing framework to test models' qualityand integrate data insights into the businessprocesses., • Coordinate with different functional teams toimplement models, design processes and tools tomonitor and analyze model performance and dataquality., • Drive the AI methodology R&D agenda to ensureCLIENT continues to offer added value by best-inclass AI approaches in fast-moving landscape. Key Skills: DomainExpertise: • MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline, • Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus, • Strong applied understanding of MLOps / LLMOps best practice, • Experience to merge and transform disparate internal & external data sets together to create inputs for AI Agile +Digital Experience: • Openness to working in Agile environments with multiple stakeholders, • Professional attitude and service orientation; team player, • Quick learner to business needs and translate them into potential analytics solutions, • Strong analytical and problem-solving skills; healthy skepticism around validity of data and its biases, • Exemplary organizational skills with attention to detail & accuracy, • Ability to coach, mentor, and collaborate with business partners, analysts, and team members, • Attitude to thrive in a fast-paced environment, Open minded to new approaches of learning

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, • 7-11 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 DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. Reporting to the VP of Data Science, as the Senior Data Scientist on our Measurement Sciences team, you will design and operationalize robust measurement frameworks—leveraging causal inference, experiment design, and advanced machine learning—to deliver transparent, actionable insights on ad incrementality, audience targeting, and cross-platform attribution. You will provide thought leadership and help guide the transformation of how advertisers measure, attribute, and optimize TV campaigns across linear and streaming platforms.WHAT YOU'LL DO • Design and implement ad incrementality measurement methodologies (A/B tests, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and Connected TV (CTV) campaigns, • Develop globally scalable audience segmentation and targeting models using our viewership data ecosystem via millions of connected TVs, • Build and validate multi-touch attribution frameworks that reconcile impressions, views, and conversions across linear, CTV, OTT, and digital channels, • Lead the full analytics lifecycle—from data ingestion/ETL (SQL, Spark, Python) through feature engineering, model development, evaluation, and production deployment, • Partner closely with data engineering and DevOps teams to operationalize models in our cloud platform and ensure data quality, security, and scalability, • Translate complex analytical findings into clear, concise presentations and dashboards for internal stakeholders and external clients, driving strategic decision-making., • Support sales and marketing teams with the development of strong positioning stories to highlight the value of our audience media and measurement opportunities, • Mentor junior data scientists and analytics engineers, fostering best practices in experimentation, code quality, and reproducibility WHO YOU ARE, • Have a Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field, • 7-10 years of hands-on experience in advertising/marketing analytics, media measurement, or a closely related discipline, • Expert in causal inference techniques (RCT design, difference-in-differences, propensity scoring, synthetic control) and uplift modeling. Background in Bayesian statistics or hierarchical modeling for uncertainty quantification, • Have a proven track record building attribution and incrementality solutions for TV and cross-media campaigns, • Have advanced programming skills in Python and SQL; Familiarity with Spark or other distributed compute frameworks, • Have demonstrated leadership in mentoring small data science teams and managing end-to-end data science projects, • Able to visualize data in a way that makes it easy for others to understand, • Are detail-oriented, highly organized, and proactive, • Have strong verbal and written communication skills, with the ability to explain complex analyses to both technical and non-technical audiences, • Thrive in a dynamic, fast-paced Agile and global environment, and being a team player, • Experience with data platforms (Databricks, Sagemaker, BigQuery, etc.), data orchestration tools (Airflow, dbt) and CI/CD best practices a plus, • Bonus: Strong knowledge or experience working with TV viewership data sources (set-top box, return-path, panel, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.)

Job DescriptionAbout Clair If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about About the Role As a Senior Data Scientist on Clair's Data Science team, you'll be responsible for developing and maintaining the next generation of credit models and predictive systems that power Clair's financial products. You'll shape how millions of hourly workers access affordable credit, leveraging cutting-edge data science to assess risk, predict repayment, and optimize credit decisions. We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence. This role blends credit modeling with feature engineering — from designing new model features (including predictive features) based on user transaction data to deploying and monitoring production-ready ML models that drive critical product decisions. To succeed, you'll need a deep technical foundation in machine learning and statistical modeling, hands-on experience in model deployment, and strong communication skills to collaborate with engineers, product managers, and risk teams. Key Responsibilities • Develop and maintain credit risk and repayment models that directly power Clair's underwriting and decision systems., • Design and engineer predictive features using transaction-level data, including the prediction of user income flows, spending, and repayment behaviors., • Collaborate with engineering teams to deploy, monitor, and optimize models in production environments using AWS and Snowflake ML Platform., • Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback., • Investigate and analyze credit performance, identifying root causes of model drift or unexpected repayment behavior., • Partner cross-functionally with product, risk, and engineering teams to turn data insights into product improvements and credit strategy refinements., • Communicate technical concepts clearly to both technical and non-technical audiences., • Stay current on best practices and emerging techniques in credit modeling, explainable AI, and financial ML systems. Minimum Qualifications • 5+ years of professional experience in data science and machine learning., • Proven track record of leading end-to-end data science projects — from research and model development to deployment and monitoring., • Experience building and productionizing credit or risk assessment models., • Strong proficiency in Python and familiarity with modern ML libraries (TensorFlow, PyTorch, XGBoost, etc.)., • Strong command of SQL and experience working with large transactional and time-series datasets., • Strong communication skills and ability to translate complex findings into actionable insights., • Experience working with cross-functional teams in a fast-paced production environment.Preferred Qualifications, • Experience in fintech or credit risk modeling., • Experience with cloud-based machine learning environments (AWS, Azure, Snowflake ML Platform, etc.)., • Familiarity with model explainability techniques and compliance requirements in financial modeling. Location: This is a hybrid position based out in New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings. Compensation: The annual base salary for this role is $165,000 to $172,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair's competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future. Need more convincing? Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair: • Medical, Dental, & Vision Coverage, with option to extend to your family, • Fully-paid parental leave, • Company-sponsored 401k, HSA, and FSA, • Unlimited vacation for salaried roles, generous PTO for hourly roles, • Work from home setup allowance, • Access to your earnings every day on Clair

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a relentless 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: Oscar has both care management and virtual care assets which provide a mechanism to help clinically risky members. You will help to improve the impact of these programs. This will involve sizing ideas to change existing or create new programs, designing experiment/measurement plans for programs, designing targeting mechanisms used for identification for programs, conducting ongoing monitoring and measuring of programs, and determining ways to optimize programs. You will apply population health or clinical expertise, predictive modeling, and traditional healthcare program evaluation techniques. You work with Oscar's clinical team and have accountability for driving shared goals. You will report into the Senior Director, Data. Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field 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. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. 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. 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 DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. • Taskrabbit is a hybrid company with employees distributed across the US and EU, • Built In — Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories., • DataBird Journal — Workplace Diversity & Inclusion Awards, • #1 Best Companies for Diversity in 2019 & 2020, • #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This role is a two days a week in office, hybrid role that can sit in either our San Francisco office or our New York City office (Opening January 2026!) About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Senior Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and operations to provide data-driven insights and solutions that enhance our products and accelerate growth. What you will work on • Be a strategic thought partner with stakeholders from product, marketing, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner., • Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers, e.g. customer/partner acquisition, retention, conversion, etc., • Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences, • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.Who you are, • BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field)., • A minimum of 5 years industry experience in data science; previous experience in a marketplace business is a plus, • Experience with advanced experimentation and statistical modeling, • Excellent analytical and problem-solving skills., • Excellent business acumen and strategic thinking skills, • Advanced in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git., • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact The base pay range for this position is $115,000 - $160,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job DescriptionMarket. Manage. Maintain. These are just a few of the many hats you’ll be wearing in this highly visible role of Property Manager at WinnCompanies! You will oversee all operational aspects of a 101 community located in Sudbury, MA. You will be responsible for maintaining the community, supporting its residents, and developing team members all while meeting financial objectives of the owner and management company. Responsibilities • Process timely and accurate move-ins, move-outs, and recertifications, • Supervise and assist Occupancy Specialist with annual and interim recertifications in compliance with WinnCompanies guidelines, local, state, and federal regulations., • Approve rental applications for multiple programs following property and agency standards, • Maintain compliance with all state and federal program regulations relating to the property, • Prepare or oversee preparation for audits and inspections, • Ensure property compliance by maintaining the compliance percentage for Low Income Housing Tax Credit, or any other applicable programs, • Review monthly and quarterly reports and address discrepancies, • Manage marketing according to the Affirmative Fair Housing Marketing Plan and update as necessary, • Complete the annual utility analysis for submission with the Rent Schedule to HUD, • Ensure the property and grounds are well maintained, • Complete annual or periodic unit inspections and monthly building inspections, • Resolve resident issues and conflicts in a timely manner and in accordance with site guidelines, • Complete the annual owner’s certifications required for the affordable programs

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. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications., • Implement an efficient and robust image processing pipeline to solve challenging problems in low latency environments., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions 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., • Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Requirements • 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., • R&D experience in medical image processing, demonstrating subject matter expertise in image quality enhancement, optical flow analysis and 2D&3D rigid/deformable image registration., • 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)., • Strong experience in C++ and Python., • Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus, • Prior experience with cardiac motion modelling or tracking is a plus, • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred qualifications • 5+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. 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

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. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is seeking a versatile Senior Data Scientist to join our User Growth team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you, as a Data Scientist at Hinge, will inform and evaluate product feature development and strategy. In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other. Responsibilities • Collaborate with a cross-functional team of Product Managers, Researchers, Designers and Engineers to develop and iterate on product features and strategy, • Translate product objectives to data science problems and vice versa, • Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy, • Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems, • Collaborate with AI team to develop, iterate, and test production models (e.g., targeting) What We're Looking For, • 5+ years of experience as a Data Scientist, • Strong knowledge of statistics and machine learning, • Experience with A/B testing, • Strong working knowledge of SQL and Python (R is acceptable, but we use Python at Hinge), • Exposure to engineering best practices in a work environment, • Superb communication skills, • Ability to balance rigor with practicality, • Deep sense of intellectual curiosity #Hinge

Job Description Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. You Will: • Play a key role in the success of our products by developing models for NLP (and other) tasks., • Perform error analysis, data cleaning, and other related tasks to improve models., • Collaborate with your team by making recommendations for the development roadmap of a capability., • Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines., • Understand product use-cases and define key performance metrics for models according to business requirements., • Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience., • 4+ years of experience with data science and machine learning in an industry setting., • 4+ years experience with Python., • Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing., • Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc., • Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow., • Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity., • Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines., • Initiative and ability to independently explore and research novel topics and concepts as they arise. #LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$136,000—$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. 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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: This position does not offer visa sponsorship. Candidates must be authorized to work in the U.S. on a permanent basis. • 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 ✨ About us ✨ Photoroom was launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our mission is clear: to create the best visuals for your commerce. We put the power of great images into more people's hands through our powerful and innovative features, from our best-in-the-world background remover to our generative AI model and tools: AI Images, AI Backgrounds and Shadows, AI Expand, and many more. Processing over 5 billion images a year and downloaded over 200 million times, Photoroom is now the world's #1 AI photo-editing app, available across mobile, web, and via an API in over 180 countries. We are a profitable, remote-friendly company headquartered in Paris with a global team of over 100 world-class deep learning, product, and marketing experts with backgrounds at the world's best companies. Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance. TL; DR 🤓 Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked. We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community. 💰 Competitive salary + Stock-Options/BSPCE 🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint. ✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure. 💻 Technology - new MacBook Pro, monitor, keyboard, etc. 🏖️ Socials - Quarterly company retreats, weekly Happy Hour & Game Time 🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English & French). ✨ About the role ✨ * You'll be the eleventh engineer in the ML team, working alongside great talent from various backgrounds. * You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes. * You will master the whole pipeline, from training models to putting them into production and monitoring their performance. * You will work on new features, new applications, and some 0→1 solutions. * You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that. * You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks. ✨ About you ✨ * You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch. * You have a deep experience with diffusion models, for image creation or edition. You’ve trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training. * You are always the most pragmatic person in the room. * You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel. * You have experience working on products requiring complex architectures. * You have a strong sense of ownership. * You take initiative and you are at ease to make product & technical decisions. * You have worked as part of a talented team and have experience in a fast-growing startup. * You’re curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility. * You are fluent in English (French is not required!). ✨ Hiring Process ✨ * Screening call with our Head of AI * Home technical assignment, reviewed with the team * Culture fit interview and meet the team! * Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. Diversity, Equity, Inclusion, and Belonging We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. 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: • 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 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 About HRW Do you take pride in making a difference? Do you want to be part of a global market research team delivering scientifically grounded, powerful insights to pharmaceutical and healthcare clients? Do you want the opportunity to further your career? How about joining a dynamic, award-winning, and passionate team? At HRW, we are market research practitioners in the healthcare, pharmaceutical and device and diagnostics space, with a wealth of experience in a wide range of therapy areas, ranging from asthma to zoster and everything in between. Founded in 2001, we are a recognized thought leader in this industry and love to present, publish and discuss the latest innovative developments to help us ‘access reality’- our continuous quest to get beneath the surface and truly understand people’s behaviour and the decisions they make at a deeper level. About HRW Shift At the heart of how we at HRW ‘access reality’, HRW Shift is the healthcare market research industry’s largest and most awarded behavioral science team, comprised of ten multi-disciplinary experts in behavioral science. The Shift team use observations from market research projects and apply their expertise in behavioral science to describe the cognitive mechanisms underpinning the observed behaviour, then take it further with behaviour change modelling to recommend evidence-based strategies, tactics, and ‘nudges’ that our clients use to overcome barriers and connect with their customer groups. Our team is hiring for a Behavioral Science Analyst. Below are the job details. BEHAVIOURAL SCIENCE ANALYST This Behavioral Science Analyst will interpret observations from healthcare research data (quantitive survey results, qualitative interview recordings, transcripts, content analysis, online communities, social media data, or ethnographic observations): describing behavioral patterns, citing evidence, and applying a range of behaviour change models to recommend evidence-based strategies to support positive behaviour change for our clients. This role will work independently and alongside other members of the HRW shift team (with expertise in the same or complimentary disciplines) as well as various research, account development, and project teams across the company’s client service hubs in Oxford, London, and New York. Your projects and behaviour change objectives will be diverse, including emerging and established healthcare products from over-the-counter consumer healthcare to pharmaceutical and medical devices, Addressing the interplay between a range of stakeholders including primarily healthcare professionals and patients (but occasionally pharmaceutical sales representatives, pharmacy staff, health system executives, and the public) Reports to Behavioural Scientist on the HRW Shift team. Primary Responsibilities • Identifying the presence of observations with behavioral significance (being able to recognize clues of behavioral traits, biases, heuristics, or logical fallacies) in market research data, • Codifying and organizing existing HRW authored behavioral content into a library, • Mapping observations on to behaviour change models and consulting evidence about effective behaviour change strategies as well as thinking obliquely and creatively about tailored applications for client problems, • Working on a variety of domestic and global projects simultaneously: working quickly (most projects complete in an 8–12-week timeframe) to analyze, conduct desk research, and think creatively about evidence-based next steps for client problems in a regulated environment, • Bachelors and/or master’s degree in cognitive science, social psychology, behavioral economics, neuroscience, or industry experience in similar disciplines., • Deep understanding of behavioral science experience applying those concepts to diverse situations, • Superb written and oral communication skills. Ability to synthesize complex information and communicate it in a clear and engaging way, • Ability to engage effectively with a wide range of people, including senior executives, academics, research peers, and clients, • Capable of balancing priorities of simultaneous projects and demands, • Excitement and interest in expanding applications of advanced behavioral science: an intra-prenurial mindset for better applications of behavioral science, hunger for knowledge, and desire to evangelize behavioral science., • Knowledge of qualitative and/or quantitative research methods preferred, • Working knowledge of statistical analysis methods and quantitative analysis preferred, • Experience designing and running experiments or RCTs preferred, • Master’s degree, PhD, or previous experience in a behavioral science-related commercial/consulting role preferred Hybrid office working in place: Manhattan, NY, minimum 2 days per week in office. During training & induction, it may be necessary to be in office more frequently. Please note that relocation is not offered with this role Year one starting salary for this role will be £70,000 This role is expected to commence September 2025 but an earlier summer joining date may be considered Benefits Teams who play together, stay together and in addition to our regular company days, and our many diverse social activities, we also recognise the importance of holistic wellbeing and value benefits including but not limited to: • 4 pm finishes on a Friday, • Flexible working hours and home working permitted (subject to business requirements), • Regular company off-site meetings, socials, and training days, • 4pm finishes on a Friday, • Flexible working hours and home working permitted (subject to business requirements), • Regular company off-site meetings, socials and training days, • Social events including breakfasts, lunches and drinks, • Office Wellness Initiatives - Including Wellbeing Wednesday, Healthy snacks, adhoc onsite treatments, • Access to a discount portal providing hundreds of discounts for popular products and services, • Competitive annual leave allowance, • Private Medical Insurance, • Rest time scheme, • Birthday off, • Volunteer days

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 are looking for a Senior Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamWhat you will bring to the team:, • 5+ 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, • Strong Python and SQL skills, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless 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: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field 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. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. 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. 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 Data Scientist NYC Private Equity - Investment Management Firm J Harlan Group is currently conducting a search for an experienced and highly motivated Data Scientist, at a prominent NYC Private Equity - Investment Manager. An exciting opportunity to join this fast-growing and dynamic investment organization that is experiencing exceptional growth! The Data Scientist will play a critical role in driving data-driven decision-making across the firm's investment strategies, portfolio management, and risk platform. The ideal candidate will bring extensive experience in data science, investment management/strategies and an understanding of portfolio management & risk management. Key Responsibilities: Working in a Hybrid work environment: • You will work closely with verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at their portfolio companies., • You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates., • Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures., • Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues., • Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models, • ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production., • Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements., • Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results., • Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. The ideal candidate would have a background including: • Minimum of 3-7 years of experience in Data Science, preferably with experience with the analysis or application of data in finance or economics – specific experience with real assets a plus!, • Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models, • Strong programming skills in Python (or R or Julia) and SQL, • Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.), • Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex), • Working knowledge bringing models to production, • Experience with data modeling, data warehousing, and ELT processes, • Strong analytical, strategic thinking, and problem-solving skills., • Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders. Nice to Have: • Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus., • Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus Education: About the Client: The firm is a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector. The firm targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial 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 partners in a highly collaborative and charged investment 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. The estimated salary range is $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to relevant skills, experience, qualifications, and geographic location.

Senior Data Scientist - Experimentation. Work directly with stakeholders, including senior leaders, to identify, scope, and prioritize high-impact questions. Mentor junior engineers and scientists on the team.

We are looking for a Data Scientist to join SeatGeeks Demand Analytics team, focusing on measurement and optimization of marketing channel performances. You will join a team that is the go-to partner on data production and insights generation for SeatGeeks Demand team, which is responsible for our m

Youll join a multidisciplinary AI team of scientists, engineers, and product leaders working to operationalize advanced AI transforming how the business serves customers, manages risk, and scales operations. Apply LLMs in Production: Operationalize large language models and generative AI to process

Senior Machine Learning Engineer Location: New York (Hybrid) Compensation: $180,000 - $250,000 base salary + Equity About the Company We're partnered with a cutting-edge software company that's redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand. The Role As an Applied AI/NLP Scientist, you'll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you'll drive projects from early-stage research to production-ready implementations, with real impact on the development process. Key Responsibilities • AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more., • Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems., • Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques., • Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs., • Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable., • Mentorship: Provide guidance and mentorship to junior ML researchers and engineers. Your Skills and Experience We're looking for a hands-on NLP expert with a passion for building tools that empower developers: • 2-8 years of experience in applied NLP or LLM-focused system development., • Proven track record building and deploying NLP/LLM solutions in production., • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy)., • Experience working with large, unstructured code and text datasets., • Background in applied research with an ability to bring experimental models into real-world systems., • Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods., • Strong communication skills and comfort working in fast-paced, ownership-driven environments., • Advanced degree (PhD or Master's) in Computer Science, AI, NLP, or a related field (PhD preferred)., • Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP). The Benefits • Competitive Pay: $200,000 - $250,000 base + performance bonus + equity, • Innovation Ownership: Contribute directly to product innovation and IP, • Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more How to Apply To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page. Desired Skills and Experience Python, NLP

We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Senior Data Scientistto support our mission.

We’re seeking a Senior Data Scientist with a passion for product and user experience to help us transform how patients discover and select the right therapist.