HealthCare.com
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Senior Data Scientist
Location
Connecticut + 3 moreAll locations: Connecticut, New Jersey, New York, Massachusetts
Posted
28 days ago
Salary
Not specified
Bachelor DegreeEnglishAirflowCloudETLKubernetesPythonSQL
Job Description
• Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement.
• Develop, train, and optimize models used in a real-time or near-real-time bidding and decisioning system.
• Work with stakeholders to clarify ambiguous problems, define success metrics, and translate business needs into technical solutions.
• Design and implement feature engineering pipelines, balancing model performance, latency, and maintainability.
• Write production-quality Python code (not just notebooks) and collaborate with engineering on deployment, CI/CD, and system design.
• Analyze model behavior using logs, metrics, and offline analysis to identify performance issues and opportunities.
• Contribute to data pipelines and infrastructure where needed (e.g., ETL, materialized tables, model inputs).
• Make thoughtful tradeoffs between something that is “theoretically optimal” and something that is reliable, fast, and shippable.
Job Requirements
- Strong Python experience, including writing code that runs in production systems.
- Solid SQL skills and experience working with analytical databases (Snowflake or similar).
- Hands-on experience training and tuning tree-based models (e.g., LightGBM, XGBoost, CatBoost) on real, messy data.
- Experience deploying, maintaining, or owning ML models beyond experimentation (APIs, batch jobs, or streaming systems).
- Comfort working across dev, staging, and production environments.
- Ability to operate with limited guidance: you can ask good questions, propose solutions, and move work forward independently.
- Bonus Skills
- Experience at a smaller company or on a small team where you wore multiple hats.
- Depth in one or more of:
- Gradient boosted models and performance optimization
- Feature engineering for tabular data
- Data engineering / ETL design
- Model monitoring, evaluation, and debugging in production
- Experience improving model latency, reliability, or cost—not just accuracy.
- Prior technical leadership or informal mentoring experience.
- Familiarity with Airflow, Kubernetes, or cloud infrastructure.
Benefits
- Opportunity to work from home
- Excellent work environment
- Medical, dental, and vision insurance
- Up to 15 days of paid time off
- 11 company observed holidays
- 8 weeks of paid parental leave
- 401k plan with company match
- Life insurance
- Professional growth opportunity
- Most importantly, an inclusive company culture established by an incredible team!
