Senior Scientist, Rider Personalization
UberNew York, United StatesPosted 5 March 2026
Tech Stack
Job Description
Senior Scientist, Rider Personalization
Department: Data Science
Team: Data Scientist
Location: New York, United States
Type: Full-Time
**About the Role**
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.
**What the Candidate Will Need / Bonus Points**
**What the You Will Do**
1. Define, build, and visualize appropriate metrics to measure user behavior and algorithm performance.
2. Explainability and observability: make data easily discoverable, understandable and actionable via simulation tooling, dashboards, etc.
3. Design, implement, and analyze experiments/quasi-experiments using appropriate statistical methodologies (basic and advanced).
4. Design and build agentic AI to automate data science workflows
5. Evangelize proactive insights that influence product or algorithm strategy (e.g. discovering trends, anomalies, and behavior patterns in our AIML systems).
**Basic Qualifications**
1. Experience defining, building, and visualizing appropriate metrics to measure user behavior and algorithm performance.
2. Technical depth in designing, implementing, and analyzing experiments/quasi-experiments using appropriate causal inference methodologies (basic and advanced).
3. Interest and curiosity for using agentic AI to automate data science workflows
4. Ability to evangelize proactive insights that influence product or algorithm strategy (e.g. discovering trends, anomalies, and behavior patterns in our AIML systems).
**Preferred Qualifications**
1. Experience designing and building agentic AI to automate data science workflows
2. Expertise in causal inference modeling
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000
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