Scientist II, Tech

Uber
Sunnyvale, United States$174k – $209kPosted 14 March 2026

Job Description

Scientist II, Tech Department: Data Science Team: Data Scientist Location: Sunnyvale, United States Type: Full-Time **Employer:** Uber Technologies, Inc. **Job Title:** Scientist II, Tech **Job Location:** Sunnyvale, California **Job Type:** Full Time **Rate of Pay:** $174,304 to $209,164 per year You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). **Duties:** Leverage data to perform intensive analysis across all areas of business to drive product development. Design experiments and analyze results to draw conclusions. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends. Build models to enhance understanding of user behavior and predict future performance of cohorts. Create dashboards and reports to regularly communicate results and monitor key metrics. Extract data from warehouse, back-test the model, and compare the model performance and communicate the results. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. May telecommute. Employer will accept a Master's degree in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Machine Learning, Operations Research, or related field and two years of experience in the job offered or in a related occupation. Alternatively, employer will accept a Bachelor’s degree in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Machine Learning, Operations Research, or related field followed by 5 years of post-baccalaureate experience in the job offer or in a related occupation. Position requires 2 years in: 1. R or Python; 2. Database query languages: SQL; 3. Experimentation techniques including
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