[Hiring] Data Scientist @Ophelia

Role Description

As a Data Scientist at Ophelia, you'll build the statistical and machine-learning models that turn our data into forward-looking decisions, including:

• Building forecasting models for business operations
• Creating marketing models to drive conversion

You will collaborate across teams to identify data-driven opportunities that propel the business forward, delivering high-quality work using an agile methodology. Your contributions will ultimately influence key company domains, including:

• Company-level KPIs
• Clinical operations
• Commercial operations
• Business operations

In this fully remote position, you will report to our Senior Director of Data and serve as a peer to our analysts and analytics engineers. As our first dedicated data scientist, you'll have the ability to shape how modeling, experimentation, and machine learning are practiced here, including:

• Clinical-capacity forecasting
• No-show and retention prediction
• Outcome and risk models
• NLP on clinical documentation

You'll partner closely with Analytics Engineering to move models from notebook to production and with the broader Technology Team to cultivate a culture of data-driven decision-making that ultimately enhances patient care.

Ophelia's Technology team actively encourages and invests in AI-augmented ways of working, using tools like Claude and Gemini to accelerate coding, analysis, and experimentation. You'll be expected to use AI fluently in your own workflow and help shape how the larger technology team uses it responsibly and effectively as it evolves.

Together, we are dedicated to helping individuals with opioid dependence. While experience in this specific treatment area isn't required, ideally you will possess knowledge of the healthcare landscape, including:

• Understanding of health outcomes
• Benchmarks
• Systems
• Regulatory compliance (HIPAA)

Qualifications

• 3-5+ years of applied data science with a strong foundation in statistics, probability, experimentation, and machine learning
• Advanced proficiency in the Python ML/analysis stack (pandas, scikit-learn, statsmodels, gradient-boosting frameworks such as LightGBM/XGBoost, and forecasting methods)
• Familiarity with R is a plus
• Familiarity with resource-allocation, scheduling, or optimization problems (e.g., linear/integer programming, queuing theory, simulation) is a strong plus
• Comfortable and enthusiastic about using modern AI tools (e.g., Claude, Cursor, Copilot)
• Ability to turn complex modeling into clear narratives and "so-what" recommendations
• Thrives in environments where data is semi-structured and projects span a wide variety of business domains
• Interest in taking models from exploration into production pipelines with monitoring and retraining
• A passion for making evidence-based addiction treatment accessible
• Experience in a regulated industry (healthcare, fintech, etc.) is a plus

Requirements

• Build, validate, and ship models - demand and clinical-capacity forecasting, no-show and retention risk, outcome and risk prediction
• Design and analyze experiments and quasi-experiments
• Collaborate with Analytics Engineering and Technology teams to deploy models into robust pipelines
• Translate open clinical and operational questions into well-scoped analyses
• Serve as the modeling partner for Clinical, Commercial, and Business Operations
• Act as the subject-matter expert for statistical and ML methods

Benefits

• Compensation range: $140,000 — $150,000 USD
• Dynamic compensation based on company performance
• Pay transparency and equity
• Opportunities for increased compensation annually

Company Description

Ophelia is a venture-backed healthcare startup that helps individuals with opioid use disorder (OUD) by providing FDA-approved medication and clinical care through a telehealth platform. Our approach is discreet, convenient, and affordable. We've been successfully operating in 16 states for almost six years and we're excited to continue our growth.