Data Scientist Manager

What You'll Do

• Coach and develop a team of 4-6 data scientists, providing feedback and growth opportunities.
• Own the Data Science roadmap, prioritize cross-functional requests, and drive execution.
• Build relationships with leaders in Engineering, Analytics, Product, Marketing, and Operations.
• Drive marketplace forecasting for advocate capacity, funnel volume, and supply/demand alignment.
• Own production ML systems including matching and quality scoring models from prototype to production.
• Establish best practices for code review, experimentation design, model validation, and monitoring.

What You Bring

• 6+ years of Data Science experience building and shipping predictive models and ML systems, ideally at a product-led tech startup or marketplace.
• 2+ years of management or leadership experience managing or mentoring data scientists.
• Deep fluency in Python, its data science ecosystem, advanced SQL (Snowflake), and ability to critique code and models.
• Production ML experience taking models from notebook to production, including monitoring and drift detection.
• Expertise in statistics, time-series forecasting (e.g. ARIMA, Prophet), A/B testing, and causal inference.
• Exceptional communication skills to translate technical work to non-technical stakeholders.
• Startup mindset: thrives in ambiguity, moves with urgency, comfortable wearing multiple hats.

Bonus Points

• Experience with marketplace matching or ranking algorithms for multi-sided marketplaces.
• Healthcare or insurance claims data experience.
• MLOps tooling experience (Docker, MLflow, SageMaker, CI/CD for models).
• Comfort with dbt models and data lineage.
• Advanced degree (Master's or PhD) in Data Science, Statistics, Applied Math, or related field.