Director, Data Science

About the Role

The data science team will serve as a central resource to provide insight and clarity while speeding up decision-making. Your key cross-functional partners will include the Product, Engineering, and Science teams, as well as the commercial and finance teams. The team's mission is to democratize data and use AI to drive actionable insights, making this role a unique opportunity for data science leaders who want to make a high impact.

Abridge is pioneering the use of AI in healthcare, and this role will be at the forefront of this effort. The company's AI-powered platform is purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most – their patients. As the Director of Data Science, you will play a key role in shaping the company's data strategy and driving the adoption of AI across the healthcare industry.

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 in order 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
• Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering teams
• Experience with data visualization tools and communicating complex data insights to non-technical stakeholders
• Strong leadership and management skills, with the ability to build and manage high-performing teams
• Experience with agile development methodologies and collaboration with cross-functional teams

Nice to Have

• Experience with cloud-based data platforms (AWS, GCP, Azure)
• Knowledge of machine learning algorithms and deep learning techniques
• Familiarity with data engineering tools and technologies (e.g., Spark, Hadoop, NoSQL databases)
• Experience with DevOps practices and tools (e.g., Docker, Kubernetes)

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan with company matching
• Generous paid time off and holidays
• Remote work stipend and flexible work arrangements
• Opportunities for professional growth and development in a rapidly growing company
• Access to cutting-edge technologies and tools
• Collaborative and dynamic work environment with a team of experienced professionals

• Develop a strong portfolio that showcases your data science expertise and leadership experience. Highlight your ability to drive product strategy with data analysis and collaborate with cross-functional teams.
• Prepare to discuss your experience with data visualization tools and communicating complex data insights to non-technical stakeholders.
• Emphasize your knowledge of machine learning algorithms and deep learning techniques, as well as your experience with data engineering tools and technologies.
• Be ready to talk about your experience with agile development methodologies and collaboration with cross-functional teams.
• Research the company's mission and values, and be prepared to discuss how your skills and experience align with Abridge's goals and objectives.
• Practice your communication skills, as the ability to effectively communicate complex data insights to non-technical stakeholders is crucial for this role.
• Be prepared to negotiate your salary and benefits package, and do not be afraid to ask about opportunities for professional growth and development.