Senior Data Scientist
HealthCare.com
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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.
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
- 12 company observed holidays
- 401k plan with company match
- Life insurance
- Professional growth opportunity
- Most importantly, an inclusive company culture established by an incredible team!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLmachine learningtree-based modelsLightGBMXGBoostCatBoostfeature engineeringdata engineeringmodel monitoring
Soft Skills
problem-solvingindependencecommunicationcollaborationtechnical leadershipmentoringanalytical thinkingadaptabilitydecision-makingtradeoff analysis