Forward Deploy Data Scientist

Responsibilities

• Partner with health systems and hospital customers to understand their data, workflows, and goals, and share insights that demonstrate product value and identify opportunities.
• Design and execute data and machine learning investigations by validating and transforming large structured and unstructured healthcare datasets with state-of-the-art models.
• Deploy, build, and operationalize machine learning and large language model-based models and analytics pipelines with engineering and product teams.
• Collaborate with customer success and product teams to improve user engagement through data-driven analysis.
• Communicate results and insights clearly to technical, product, and clinical stakeholders.
• Build reusable playbooks, tools, and best practices to accelerate implementations and improve customer outcomes.
• Apply emerging machine learning, natural language processing, and healthcare data technologies to real-world clinical problems.
• Contribute to collaboration, innovation, and rigor across data science and product teams.

Requirements

• 2–3 years of professional experience in data science.
• Strong communication skills and comfort presenting to external customers.
• Strong programming skills in Python.
• Fluency with modern data science and machine learning/natural language processing libraries, such as PyTorch, TensorFlow, and Hugging Face.
• Experience with MLOps tools such as Airflow, MLflow, dbt, Docker, or cloud machine learning platforms.
• Familiarity with modern applied large language model techniques.
• Strong data manipulation, treatment, and evaluation skills, including the ability to efficiently and methodically wrangle large, complex datasets.
• Willingness to work hybrid 2–3 days per week from the Boston or NYC office.

Nice to Have

• Familiarity with Epic, Cerner, or other electronic health record systems.
• Experience in forward deployment, field data science, or consulting-style roles.
• Background in AI/machine learning for healthcare, clinical analytics, or real-world data.

Compensation

• Expected compensation range: $150,000–$180,000.
• Compensation depends on experience, overall fit, and candidate location.