Uber Staff Scientist Competitive Intelligence 

United States, West Virginia 

509278319

About the Role

- - - - What the Candidate Will Do ----

1. Leverage advanced analytical methods—including statistical modeling, causal inference, funnel analysis, and deep-dive analytics—to uncover Uber’s largest opportunities in a competitive landscape and drive high-impact business decisions.
2. Translate complex analyses into actionable insights and present findings to business leaders, executives, and cross-functional partners to shape strategy.
3. Collaborate with Product, Operations, and Engineering teams to define and execute a roadmap of high-impact initiatives, ensuring competitive intelligence is deeply integrated into Uber’s decision-making.
4. Provide technical mentorship and thought leadership, elevating the team’s analytical rigor and advancing best practices in statistical and ML methodologies.

- - - - Basic Qualifications ----

1. Ph.D., M.S., or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or a related quantitative field.
2. Strong foundation in statistical methods and modeling, including experimental design (e.g., A/B testing) and causal inference.
3. Proficiency in SQL, along with experience coding in Python or R for data analysis and modeling.
4. Proven ability to extract insights from data, translate complex analyses into actionable takeaways, and drive strategic decision-making.
5. Exceptional communication skills, with the ability to present findings effectively to technical, non-technical, and executive audiences.

- - - - Preferred Qualifications ----

1. 6+ years of industry experience as an Applied Scientist, Data Scientist, or equivalent role.
2. Experience in competitive intelligence, external data analysis, or strategic analytics.
3. Advanced expertise in experimental design and causal inference, including observational studies and quasi-experimental methods.
4. Hands-on experience working with messy, incomplete, and noisy data to extract insights and drive business impact.
5. Proven ability to collaborate with senior stakeholders (Director+), influencing strategy and decision-making with data-driven insights.
6. Strong judgment, critical thinking, and decision-making skills, with the ability to navigate ambiguity and prioritize effectively in a fast-paced environment.

For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year.