About the job
As a Scientist, you will play a critical role in enhancing the personalization AIML experience for millions of Rider app users worldwide. You will leverage your expertise in data science and analysis to measure & optimize our recommendation systems, ultimately improving user satisfaction and achieving business growth through one of the most impactful channels.
Responsibilities
Define, build, and visualize appropriate metrics to measure user behavior and algorithm performance.
Explainability and observability: make data easily discoverable, understandable and actionable via simulation tooling, dashboards, etc.
Design, implement, and analyze experiments/quasi-experiments using appropriate statistical methodologies (basic and advanced).
Design and build agentic AI to automate data science workflows
Evangelize proactive insights that influence product or algorithm strategy (e.g. discovering trends, anomalies, and behavior patterns in our AIML systems).
Qualifications
Minimum
Experience defining, building, and visualizing appropriate metrics to measure user behavior and algorithm performance.
Technical depth in designing, implementing, and analyzing experiments/quasi-experiments using appropriate causal inference methodologies (basic and advanced).
Interest and curiosity for using agentic AI to automate data science workflows
Ability to evangelize proactive insights that influence product or algorithm strategy (e.g. discovering trends, anomalies, and behavior patterns in our AIML systems).
Preferred
Experience designing and building agentic AI to automate data science workflows
Expertise in causal inference modeling