Forward Deployed Data Scientist

About the role

We're hiring our first Forward Deploy Data Scientist. You'll work directly with customers and internal teams to translate messy healthcare data into actionable insights and machine learning-ready pipelines. You'll work hand-in-hand with our world-class ML and broader engineering team, as well as our product and customer success teams.

You'll partner with our health systems & hospital IT/data teams, as well as internal Customer Success Managers, product managers and software engineers to validate data pipelines, share insights, and ensure our solutions deliver measurable value in clinical and operational workflows. This is a hands-on, high-impact role-ideal for someone who loves working with data, solving ambiguous problems, and collaborating across technical and non-technical stakeholders.

What you'll do

• Partner directly with health systems and hospital customers to understand their data, workflows, and goals, sharing data insights that enable our customers to understand our product value and areas of opportunity.
• Design and execute data and ML investigations- validating, and transforming large structured and unstructured healthcare datasets with state of the art models to ensure accuracy and trustworthiness.
• Deploy, build, and operationalize ML and LLM-based models and analytics pipelines in collaboration with the broader engineering and product teams.
• Work hand-in-hand with customer success and product teams to understand and improve user engagement through data-driven analyses.
• Communicate results and insights clearly to technical, product, and clinical stakeholders.
• Build reusable playbooks, tools, and best practices to accelerate future implementations and improve customer outcomes.
• Stay current on emerging ML, NLP, and healthcare data technologies and proactively apply them to real-world clinical problems.
• Contribute to a culture of collaboration, innovation, and rigor across the data science and product teams.

We look for

• 2-3 years of professional experience in data science (a proven track record of successful projects in healthcare or clinical applications is a bonus, but not required).
• A strong communicator who thrives in a customer-focused, fast-paced environment - must be comfortable presenting to external customers and have a partnered/strategic mindset.
• Strong programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.).
• Experience with ML Ops tools (Airflow, MLflow, dbt, Docker, or cloud ML platforms).
• Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus).
• Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically.
• Proactive mindset to identify and solve problems, continuously improving our data science capabilities.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
• Willingness to be hybrid with our team in either our Boston or NYC office 2-3 days per week

Nice to have

• Familiarity with Epic, Cerner, or other EHR systems.
• Experience in forward deploy, field data science, or consulting-style roles.
• Background in AI/ML for healthcare, clinical analytics, or real-world data.

Pay and benefits

Expected compensation range for this role is $150,000 - 180,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.