Director, Data Science

About the Role

The data science team at abridge will serve as a central resource to provide insight and clarity while speeding up decision-making. You will work closely with the product, engineering, and science teams to drive actionable insights and shape the company's data strategy. With a strong focus on collaboration and communication, you will ensure that data-driven insights are effectively communicated to cross-functional partners, including the executive team.

Abridge is a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. As a leader in the data science team, you will be part of a dynamic and innovative environment that values high-agency, strong taste, and high impact.

What You Will 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 the growing product portfolio, including user behavior analysis, deep-dives into product performance metrics, and causal inference experimentation
• Partner with the product, strategy, and research teams to develop sophisticated ROI frameworks for customers, ingesting real-time data and demonstrating impact
• Collaborate with the world-class research team on models and model evaluation, including shaping model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinically
• Effectively communicate the data strategy, complex analyses, and key insights to cross-functional partners, including the executive team
• Structure the company's data strategy, working closely with the Data Engineering team to identify gaps in data sources, ingest internal and 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 current and soon-to-come best practices to utilize AI to speed up data ingestion and insight generation

What We Are Looking For

• MS or PhD in a quantitative field (statistics, mathematics, computer science, physics, or related)
• 12+ years of experience 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
• Experience building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering teams
• Strong leadership skills, with the ability to build and manage high-performing teams
• Excellent communication skills, with the ability to effectively communicate complex data insights to cross-functional partners
• Experience with data strategy, technical infrastructure, and team management
• Strong understanding of machine learning and AI principles, with the ability to apply them to real-world problems
• Experience working with cross-functional teams, including product, engineering, and research teams

Nice to Have

• Experience with cloud-based data platforms, such as AWS or Google Cloud
• Knowledge of data visualization tools, such as Tableau or Power BI
• Experience with agile development methodologies, such as Scrum or Kanban
• Familiarity with containerization using Docker
• Experience with CI/CD pipelines using tools like Jenkins or CircleCI

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• 401(k) matching program
• Generous PTO and holiday policy
• Remote work stipend and flexible work arrangements
• Professional development opportunities, including conference sponsorships and training programs
• Access to cutting-edge technologies and tools
• Collaborative and dynamic work environment with a team of experienced professionals
• Opportunity to work on high-impact projects that drive real change in the healthcare industry
• Recognition and reward programs for outstanding performance and contributions
• Flexible and supportive work environment that values work-life balance

• To stand out as a candidate, be prepared to showcase your experience in data strategy, technical infrastructure, and team management, and highlight your ability to drive impact through data-driven insights.
• Make sure to review the company's technology stack and be familiar with tools like Python, R, and SQL, as well as cloud-based data platforms and data visualization tools.
• Practice communicating complex data insights effectively, and be prepared to provide examples of how you have driven product strategy through data-driven insights in the past.
• Be prepared to discuss your experience with cross-functional teams, including product, engineering, and research teams, and highlight your ability to collaborate and communicate effectively.
• Consider creating a portfolio that showcases your data science projects and experience, and be prepared to walk the interviewer through your process and insights.
• Don't be afraid to ask questions during the interview, such as what the biggest challenges facing the data science team are, or what opportunities there are for growth and professional development.
• Be prepared to negotiate your salary and benefits package, and do your research on the market rate for data science professionals in the industry.