Director of Data Science

About the role

Our Director of Data Science will set the foundation for impactful data-driven insights, transforming complex datasets into revolutionary strategies that could impact the lives of billions.

Responsibilities

• Define and implement the future of our modern data architecture and data stack.
• Own the build-out, evolution, and performance of our data infrastructure.
• Extract, clean, and analyze large datasets using various analytical and statistical approaches to identify actionable insights.
• Utilize technical expertise in quantitative analysis, experimentation, data extraction, and data presentation to formulate product and business strategies.
• Collaborate with leadership and cross-functional teams to address business and product challenges, setting the roadmap and executing it.
• Drive strategic decisions with data by measuring the impact of initiatives, enhancing decision-making efficiency, and setting, forecasting, and tracking key performance metrics for product efforts.
• Leverage machine learning and statistical techniques to create scalable solutions for business challenges.
• Guide product development with data, quantify opportunities, pinpoint challenges, and ensure the best possible customer experience.
• Collaborate with teams to define north star and operational metrics, and design dashboards and reports that transform complex data into actionable insights for all team members.
• Promote and implement best practices for data privacy and compliance with relevant regulations.
• Stay updated with the latest in data science and related technologies, ensuring we leverage the best tools and approaches.

Qualifications

• Proven track record of leading small, scrappy teams to new levels of performance in a fast-paced, dynamic environment.
• Natural knack for seeing the big picture and integrating complex systems to transform data into actionable insights.
• Strong analytical skills and the ability to communicate complex data insights effectively to non-technical stakeholders.
• Expertise in SQL, Python, and R, with experience in platforms like Fivetran, Snowflake, and DBT.
• Experience with machine learning and statistical techniques to create scalable solutions for business challenges.
• Strategic mindset with a deep understanding of business operations and the ability to use data to drive decision-making.
• Ability to collaborate across multiple teams and departments to achieve common goals.
• Passion for solving complex problems and driving innovation in the field of data science.