Source Job

• Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
• Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals.

Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and making a meaningful impact in healthcare.

• Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
• Transform complex data into actionable insights, develop features and training datasets within Snowflake and dbt, and use Python and SQL for feature engineering and machine learning.
• Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.

The client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.

• 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.

• 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 strategic data initiatives including advanced statistical analysis, machine learning modeling, and generative AI solutions.
• Design and implement experimentation strategies (A/B testing, causal inference) to validate hypotheses and measure product impact.
• Collaborate with multidisciplinary teams to translate business problems into actionable data solutions and communicate insights clearly.

CI&T is a global technology company that combines the disruptive power of artificial intelligence with human expertise to help large companies navigate technology and business changes. With 8,000 employees across more than 25 countries, they collaborate to build solutions with real impact.

• Build and ship ML and GenAI systems from research to production.
• Communicate technical concepts clearly to non-technical stakeholders.
• Foster an atmosphere of experimentation, continuous learning, and improvement.

Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct impact.

• 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.

• Work with a cross-functional team to advance algorithmic pricing across the business.
• Iteratively design a system that establishes foundational signals of supply, demand, and willingness-to-pay.
• Build interpretability into the system so that price changes are explainable and consistently actioned.

PatientPoint is a leading digital health company that transforms the healthcare experience through behavior-changing content. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven culture.

• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
• Play a key role in creating both product and client-facing analytics and inform data team strategy.
• Collaborate with product managers, analysts, and developers to define and lead data projects from ingestion to analysis to recommendations.

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Trusted by over 85% of U.S. physicians and 300+ health systems, they value curiosity, ownership, inclusion, and making a meaningful impact.

• Conduct independent research in Generative AI, LLMs, NLP, and multimodal AI to design experiments and evaluate models.
• Develop and implement LLM evaluation frameworks, analyze model performance, and identify data gaps for improvement.
• Apply strong statistical and data science skills to clean, analyze, and interpret complex datasets for AI/ML research.

Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, the company is committed to delivering the highest quality data and outstanding outcomes for its customers.

• Design, build, and deploy LLM-powered product features, including lab summaries and conversational agents.
• Build backend services integrating LLMs and ML models, primarily using Python with exposure to Elixir.
• Implement evaluation, monitoring, and CI/CD workflows for AI features, ensuring reliability and clinical relevance.

Fullscript is a health technology platform that helps practitioners deliver better care through clinical insights, lab interpretations, and patient analytics. With over 125,000 practitioners and 10 million patients, the company emphasizes a people-first culture, teamwork, and continuous learning in a remote-first environment.

• 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.

• 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.

• Find and ship predictive signals by building student-level predictors and analyzing conversational data to improve AI.
• Own AI data tooling and evaluation, including building frameworks for model assessment and maintaining in-warehouse AI configuration.
• Make your work reusable by equipping internal teams with data and analysis, and document reasoning and assumptions.

Mainstay, a division of Lemnis, is a public charity dedicated to expanding learning for all through an engagement platform that helps colleges and businesses start and measure conversations. The team is growing, collaborative, and inclusive, with a focus on innovation and mentorship.

• 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 data science work on grant-funded projects focused on teaching, coaching, and AI in education.
• Apply statistical, machine learning, NLP, and generative AI methods to develop automated measures and workflows.
• Collaborate with researchers and external partners to integrate research insights into educational tools and deliverables.

Harvard University is a world-renowned institution committed to advancing education and research. The Harvard Graduate School of Education fosters a diverse, collaborative community focused on maximizing impact in the field of education.

• Build Boulevard’s product data foundation, designing models and tech stack to translate raw data into analysis-ready assets in partnership with data engineering.
• Partner with product managers to develop data-driven recommendations through engaging narratives, data storytelling, and visualizations tailored to all levels of the organization.
• Own the experimentation practice end-to-end, from designing tests with clear hypotheses and metrics to running analysis and delivering defensible impact readouts.

Boulevard provides the first and only client experience platform for appointment-based, self-care businesses, empowering salons, spas, and medspas to manage scheduling, payments, marketing, and client relationships. With over 5,000 businesses processing $5 billion in payments annually and $188M in funding, we value curiosity, experimentation, and diversity, and we are growing fast as we expand upmarket.

• Own data science projects from business questions through to AI products in production.
• Partner with teams, advise on data science work, and research AI applications for hospitality.
• Build, evaluate, and ship machine learning models and AI products for customer-facing use.

Lighthouse is a hospitality AI platform that turns the world's largest hotel data network into real-time intelligence for commercial strategy. With $370M in Series C funding, $100M in ARR, and over 850 teammates across 35 countries, we help hoteliers make faster, smarter decisions.

• Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
• Develop forecasting and optimization solutions to support complex business and operational decisions.
• Apply experimentation and causal inference techniques, and explore Generative AI where applicable.

Coderio designs and delivers scalable digital solutions for global companies. They are a remote-first company with a collaborative international team focused on technical excellence and career growth.

• Design and implement complex data analyses using standard and novel methods, including AI/ML, to derive actionable insights for clients.
• Create and maintain data frameworks, SOPs, and project documentation to ensure quality and reproducibility.
• Communicate findings and methodology to stakeholders of varying technical expertise through presentations and reports.

WCG delivers transformational solutions that accelerate clinical research and advance human health. We invest in our people, offering comprehensive benefits and a culture focused on growth and mission.