Director, Data Science

What You’ll Do

• Build and manage a world-class team of data scientists, providing guidance, mentorship and high standards while growing the team
• Foster a high impact and collaborative team culture, focused on having agency, providing clarity of thinking to the organization and pride in authorship
• Drive product strategy through data-driven insights across our growing product portfolio, including user behavior analysis, deep-dives into product performance metrics, causal inference experimentation
• Partner with our product, strategy, and research teams to develop sophisticated ROI frameworks for our customers, ingesting real-time data and demonstrating impact
• Collaborate with our world-class research team on models and model evaluation, including shaping our model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinically
• Effectively communicate our data strategy, complex analyses and key insights to cross-functional partners including the executive team
• Structure the company’s data strategy, working closely with our Data Engineering team to identify gaps in data sources, ingest internal & external data, and structure that data for optimal use across the company
• Make critical technical infrastructure decisions for the data organization, including tooling choices, build vs buy tradeoffs for analytics platforms, and setting technical standards that enable the team to move fast without creating technical debt
• Build the data science org of the future, incorporating the current and soon-to-come best practices in order to utilize AI to speed up data ingestion and insight generation

What You’ll Bring

• MS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)
• 12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and execution
• Depth of experience using Python, R, SQL for large-scale analytics
• Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
• Experience with data visualization tools, both BI tools (Tableau, Looker, Sigma) and code-based tools (Seaborn, ggplot2)
• Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion
• A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environment

Bonus Points

• Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing
• Experience diving into / shaping Analytics Engineering (recruiting & supporting)