Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, validate, and deploy predictive and statistical models for forecasting demand and clinical capacity, assessing no-show and retention risks, and predicting outcomes and risks.

• Design and evaluate experiments and quasi-experiments to assess causal impacts.

• Collaborate with Analytics Engineering and Technology teams to implement models within BigQuery, dbt, and Dagster pipelines.

• Establish continuous monitoring, retraining, and drift detection for models in production.

• Convert open clinical and operational inquiries into thorough, well-defined analyses.

• Work with Clinical, Commercial, and Business Operations teams to identify opportunities and convey results in understandable terms.

• Act as the subject-matter expert in statistical and machine-learning methodologies.

• Assist in developing responsible and effective AI-augmented workflows throughout the Technology team.

• Report to the Senior Director of Data and collaborate as an equal with analysts and analytics engineers.

⛳️ Requirements

• 3-5+ years of hands-on data science experience.

• Strong grounding in statistics, probability, experimentation, and machine learning.

• Advanced skills in the Python ML/analysis stack, including pandas, scikit-learn, statsmodels, LightGBM/XGBoost, and various forecasting methods.

• Familiarity with R is advantageous.

• Experience with resource allocation, scheduling, or optimization challenges is highly desirable.

• Comfortable and eager to use modern AI tools such as Claude, Cursor, and Copilot.

• Capable of articulating complex modeling concepts through clear narratives and actionable insights.

• Able to navigate semi-structured data and ambiguity across diverse business areas.

• Interest in transitioning models into production pipelines with monitoring and retraining processes.

• Experience with orchestration tools like Dagster or Airflow is a plus.

• A passion for evidence-based addiction treatment.

• Experience in a regulated sector such as healthcare or fintech is an asset.

• Understanding of the healthcare landscape, including health outcomes, benchmarks, systems, and HIPAA compliance, is preferable but not required.

🏝️ Benefits

• Pay transparency and equity.

• First and best offer approach.

• Opportunities for annual compensation increases based on company performance and target achievements.

• Fully remote position.

• AI-augmented work processes utilizing tools like Claude and Gemini.