Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.
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.
Lead end-to-end data science projects leveraging Azure Machine Learning, Databricks, and Power BI to extract insights from large datasets.
Build predictive models and develop complex algorithms, applying statistical and machine learning methods to solve complex business problems.
Act as a subject matter expert, delivering actionable guidance to stakeholders and collaborating with cross-functional teams to drive continuous improvement.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, it is one of the largest US-based Microsoft solution partners and a multiple Microsoft Partner of the Year and Inc. Best Workplaces award winner.
Develop statistical models and machine learning algorithms to improve patient enrollment and trial management.
Build and optimize data pipelines and analytical workflows using AWS tools like Athena, Redshift, SageMaker, and dbt.
Ensure data science practices comply with HIPAA and GDPR while monitoring models for bias and performance drift.
Care Access brings clinical research and health services to communities worldwide through hundreds of research locations and mobile clinics. The company is dedicated to making healthcare more accessible and puts people at the heart of medical progress.
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.
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.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
Lead the machine learning strategy and execution to improve patient outcomes.
Collaborate with tech, clinical, and operations teams to implement clinical interventions.
Build predictive models, set up analytics data models in DBT, and analyze clinical and operational data.
Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs and surrounding practices with practical support. The company is building a fast-growing network of independent PCPs and IPAs, backed by leading healthcare investors and scaling into new markets.
Lead technical support for VHA AI Citizen Developers, guiding ML model design and deployment.
Apply supervised, unsupervised, and reinforcement learning to healthcare-specific data models.
Develop synthetic data cohorts and workflows in cloud environments (e.g., AWS GovCloud).
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies and have 300+ employees nationwide, fostering a culture of innovation and service.
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.
Own data products end-to-end, driving success through accuracy, client value, and efficiency.
Work with massive datasets to answer key client questions and develop deep expertise in proprietary methods.
Use AI and tooling to drive leverage, automating workflows and validating AI-generated outputs.
YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance and market trends. With offices in the US, APAC, and India, the company is recognized as a Best Workplace for three consecutive years, fostering a culture of transparency, ownership, and continuous learning.
Build trusted datasets and measures from Epic data using SQL/PySpark, validating every number against existing reports.
Develop and deploy statistical and machine-learning models for operational and clinical questions through production pipelines.
Apply NLP and LLMs to clinical text and deliver Power BI semantic models and conversational data agents.
Emory Healthcare is a healthcare system that transforms clinical and operational data into measures, models, and AI tools for leaders and clinicians. It offers comprehensive benefits, mentorship, and leadership programs in a supportive environment that fosters professional growth.
Drives promotional effectiveness analytics for TRUTAKNA, including ROI analysis and channel measurement.
Supports patient-based demand forecasting and reconciles demand signals with financial projections.
Partners with cross-functional teams to translate business questions into analytical plans and deliver executive-level insights.
Vera Therapeutics is a commercial-stage biotechnology company focused on transforming medicine in autoimmune disease, starting with the kidney. The company values empathy, ownership, clarity, and urgency, fostering a lean, collaborative culture.
Define and own the technical strategy for Octave's data platform and AI/ML capabilities, partnering with product and business leaders.
Lead and mentor a data platform team while remaining hands-on in architecture, prototyping, and complex engineering problems.
Balance near-term delivery with foundational investments to scale data and AI initiatives, driving KPIs and technical excellence.
Octave is a modern behavioral health practice offering evidence-based individual, couples, and family therapy in-person and virtually. They focus on quality care and payer partnerships to make therapy affordable, with a growing team and a culture of empathy and collaboration.
Build and maintain recurring reporting, dashboards, and data models that drive your business line.
Apply statistical and predictive modeling, A/B testing, and AI-first execution to deliver actionable insights.
Partner with business and data stakeholders to prioritize analytics and translate complex data into clear narratives.
Docplanner Group is a healthcare platform connecting 24 million patients with 280k doctors across 13 countries through brands like Doctoralia. With 3,000+ employees, it's an agile, hands-on culture focused on results, ownership, and learning.
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.
Design, develop, and implement data science, statistical modeling, and machine learning solutions.
Analyze large, complex datasets to identify trends, patterns, and actionable insights.
Build dashboards and visualizations using Power BI and Tableau, and communicate findings to technical and non-technical audiences.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA, supporting public sector agencies and commercial enterprises globally. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
Lead the architecture and delivery of complex data science and AI solutions on Azure, including machine learning, forecasting, and optimization.
Manage and mentor a Senior Data Scientist, providing technical oversight, coaching, and ensuring alignment to best practices.
Engage directly with clients to translate business problems into scalable, production-ready AI solutions while communicating technical concepts to non-technical stakeholders.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, the company has grown into one of the largest US-based Microsoft solution partners, with a culture that has earned them three-time Inc. Best Workplaces award.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.