Senior Data Scientist, Rides Safety

About the role

This role involves identifying, researching, and prioritizing hypotheses to improve automated and predictive safety algorithms. This includes developing and deploying systems for risk scoring, verification, and progressive interruption. The work requires designing and executing large-scale experiments to validate safety approaches and measure their impact on key safety metrics like incident rates and verification success.

The Senior Data Scientist will lead the data science and machine learning approach to safety and risk management within the company. This means working autonomously from initial problem research through to model deployment. Success in this position involves a deep understanding of machine learning algorithms and statistical inference to build robust, real-time risk models and advanced control systems.

Collaboration is a key aspect of this position, as the data scientist will partner with analysts, engineers, product managers, and operations specialists. The goal is to identify safety problems and develop efficient, data-informed solutions that directly influence the user experience for millions of daily trips. The role emphasizes a strong ownership mindset and the ability to communicate effectively with various cross-functional stakeholders.

The annual salary for this position ranges from $36,000 to $58,500 USD.

Skills that matter here

• machine learning: This role requires applying machine learning to build predictive safety systems and automated decision-making tools for real-world mobility challenges.
• Python: Mastery of Python is essential for developing, deploying, and monitoring automated safety systems.
• SQL: Mastery of SQL is required for data manipulation and analysis within the safety systems.

Who this role suits

• You are a self-starter who thrives on owning projects from initial problem research to final model deployment.
• You possess a deep understanding of machine learning algorithms and statistical inference.
• You enjoy designing and running large-scale experiments to validate and measure the impact of your solutions.
• You are effective at communicating complex technical information to non-technical stakeholders.

From the employer

Main tasks and responsibilities:

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

About you:

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.
• Experience is valuable, but what we really look for is drive, intelligence, and integrity — so if you don’t tick every box, apply anyway.