Source Job

• Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
• Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
• Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.

• Develop, fine-tune, deploy, and monitor pretrained language models for healthcare applications
• Work with messy unstructured EHR data, including clinical text and imaging, to generate real-world insights
• Collaborate cross-functionally to translate clinical questions into data analytics requirements

Verana Health is a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network in ophthalmology, neurology, urology, and oncology. Backed by Johnson & Johnson Innovation and GV, the company recently raised $150 million in Series E and maintains a diverse, remote-friendly culture with offices in San Francisco, New York City, and Knoxville.

• Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
• Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
• Mentor data scientists and drive best practices for advanced analytics and ML development.

Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.

• Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
• Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
• Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.

CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.

• Lead the strategy and direction of a high-impact Machine Learning and AI function, shaping innovation and production capabilities.
• Build and develop a high-performing ML organization while fostering a culture of accountability, inclusion, and technical excellence.
• Partner across Engineering, Product, and Research to ensure responsible, secure, and production-ready AI systems involving sensitive data.

The company is a mission-driven technology organization applying advanced machine learning and AI to complex challenges with meaningful social impact, including keeping children safe. It fosters a remote-first, collaborative, and inclusive culture with multidisciplinary teams.

• Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
• Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
• Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.

Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.

• Research and deploy NLP, ML, and GenAI solutions for revenue lifecycle management products.
• Partner with engineering and product to take models from experimentation to production at scale.
• Mentor teammates and drive evaluation standards while building LLM and RAG-based capabilities.

Conga unifies pricing, quoting, contracting, rebates, and communications so companies run as connected, smarter businesses. Trusted by over 10,000 customers and 50% of the Fortune 100, Conga fosters a culture where colleagues thrive and every voice is heard.

• Build and ship AI methods for federal research data with LLMs, NLP, RAG, knowledge graphs.
• Benchmark AI against baselines and human reviewers to prove gains in accuracy, reliability, efficiency, cost.
• Set standards for trustworthy AI and mentor data scientists through code review and guidance.

ARI builds AI methods for federal research-funding and administrative data, with clients including the NIH. It is a small multidisciplinary team of scientists, analysts, economists, and data scientists experienced with NIH data.

• Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
• Lead ML projects from concept to production, improving answer relevance and user experience.
• Collaborate with Product, Data Science, and Engineering teams to shape technical direction.

The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.

• Design and optimize RAG solutions combining LLMs with enterprise knowledge stores.
• Build AI knowledge architectures, reusable agents, and copilots for analytical workflows.
• Collaborate with engineering teams to deploy AI capabilities across business applications.

This company provides AI-enabled analytics solutions for enterprise customers, leveraging generative AI, machine learning, and modern data platforms. It fosters a collaborative, cross-functional culture with career progression opportunities and exposure to emerging AI technologies.

• Lead design and deployment of enterprise-scale AI and data solutions.
• Architect LLM and agentic AI workflows using frameworks like LangChain and n8n.
• Partner with teams to deliver secure, compliant, and innovative solutions.

U.S. Financial Technology operates the largest mortgage securitization platform in the world, supporting Fannie Mae and Freddie Mac's Uniform Mortgage-Backed Security. The company supports 70% of mortgage-backed securities and combines financial services expertise with leading technologists.

• Lead the team in roadmapping and executing machine learning features and products.
• Improve team pace through technical expertise and pragmatic tradeoffs.
• Drive recruiting, reliability, and growth of team members.

Hightouch helps companies sync data into their SaaS systems to automate and improve operations. They are a remote-first company with hundreds of customers and a culture focused on engineering excellence.

• Own the multi-year technical strategy for Data Labs, mapping AI training trends into a roadmap for benchmarking and data pipelines.
• Lead engineering managers, FDEs, and Staff+ ICs, building a rigorous, client-focused engineering culture.
• Partner with research, product, and commercial teams to shape offerings and advise clients.

Invisible Technologies makes AI work through an end-to-end platform that structures data, automates workflows, and integrates human expertise. Profitable for half a decade, we hit $134M revenue and ranked #2 fastest growing AI company on the 2024 Inc. 5000.

• Lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, defining key metrics and driving product strategy.
• Design and analyze A/B tests and causal inference experiments, applying machine learning methods to deliver actionable insights.
• Dig into complex datasets, translate findings into clear narratives and dashboards, and provide technical guidance to junior team members.

Houzz is the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners. It is a community-centric, innovative tech company with a mission-driven culture focused on making home renovation and design more productive for everyone.

• Develop, deploy, and maintain predictive models for LTV, churn, and retention across mobile and web products.
• Own the modeling roadmap from problem framing to production, including segmentation, propensity models, and experimentation.
• Apply LLMs and machine learning to classify behavioral signals and build AI-powered analytics tools.

GoFasti is a Talent-as-a-Service company bridging world-class LatAm developers and designers with global companies. It values remote work, continuous learning, and strong communication in its talent.

• Own machine learning strategy and execution, including MLOps, infrastructure, and predictive modeling.
• Build analytics data models in DBT and analyze clinical and operational data to drive outcomes.
• Collaborate with clinical, operations, product, finance, and tech leadership to scale data science.

Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs. The company is a fast-growing, startup-minded network backed by leading healthcare investors, committed to keeping independent medicine strong.

• Lead the development and execution of data science and analytics initiatives that support strategic and tactical business objectives.
• Transform large volumes of structured and unstructured data into meaningful insights, analytical solutions, and business recommendations.
• Manage and mentor data science professionals while fostering collaboration, innovation, and continuous development.

CenterWell is a healthcare company that leverages data and analytics to improve consumer experiences and business performance. It fosters a collaborative, innovative culture with a focus on professional growth and continuous development.

• Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
• Build, evaluate, deploy, and maintain machine learning models in production.
• Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.

The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.

• Build and deploy models and digital tools that support drug substance, drug product, packaging, and labeling processes.
• Partner with technical teams and CDMOs to turn process data into predictive models and analytics for phase-appropriate decisions.
• Develop reusable data products and dashboards in Databricks, applying AI/ML to accelerate CMC data review.

Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into therapies for central nervous system disorders. It fosters a culture of trust, ownership, curiosity, and results while developing high-impact medicines.

• Help establish the UK data science team and shape its working norms and technical culture.
• Lead the UK team as part of a distributed function, collaborating closely with US-based data scientists.
• Partner with Finance, Marketing, and Operations leadership to translate business priorities into a team roadmap.

Hims & Hers is a leading health and wellness platform that provides accessible, affordable, and personal healthcare. The company is publicly traded on the NYSE and fosters a talent-first culture with flexible/remote work options.