Scientist II, Tech

Uber; Sunnyvale (CA); Hybrid; USD 225,000 - 270,000; Full time

Job summary

Uber is seeking a Senior Data Scientist in Sunnyvale to turn massive data into actionable insights, influencing pricing, incentives, and user experience. You will build ML models, design experiments, and present results to senior management in a fast-paced environment.

The role emphasizes end-to-end productionization and cross-functional teamwork across product, engineering, and operations. The team values statistical rigor and scalable solutions, with opportunities to work on real-world

Qualifications

• Master's degree plus 3 years of experience in related occupation.
• Data manipulation, unstructured data handling, and creating informative visualizations.
• Experience translating data-driven insights into visuals for senior management.

Responsibilities

• Use data to understand product performance and identify improvement opportunities.
• Build statistical, optimization, and ML models for pricing and incentives.
• Design and run product experiments and interpret results for actionable conclusions.
• Present findings to senior management to inform decisions.
• Collaborate with cross-functional teams to drive end-to-end system development.
• May telecommute.

Skills

Data manipulation

Data visualization

Large-scale data

Dashboards (self-serve)

Python

Experiment design

Causal inference

Machine learning modeling

Optimization & simulation

Education

Master's degree in Statistics, Engineering, Computer Science, Operations Research, or related field

Tools

Tableau

Looker

Git

SQL

Job description

About the role and team

Working in Science at Uber means solving complex, real-world problems that don't always have a textbook solution. You will be part of a team that turns massive amounts of data into actionable insights, influencing everything from marketplace efficiency to user experience. In this role, you’ll be a technical "detective," unpicking data-driven puzzles in a high-stakes, fast-moving environment. You’ll thrive here if you stay calm under pressure, embrace the "messy" reality of imperfect datasets, and have the grit to move projects from hypothesis to production.

This is a role for an owner who is energized by the challenge of building at scale. You will navigate the ambiguity of shifting priorities and internal complexity, ensuring that our data-driven products are robust, reliable, and grounded in sound statistical principles. If you're sharp, steady, and motivated by meaningful impact at global scale this is where you’ll grow.

Rate of Pay: $225,077 to $270,092 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.

What you’ll do

• Use data to understand product performance and to identify improvement opportunities.
• Build statistical, optimization, and machine learning models for a range of applications in the pricing and incentives algorithms space.
• Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
• Present findings to senior management to inform business decisions.
• Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
• May telecommute.

Basic Qualifications

• Employer will accept a Master's degree in Statistics, Engineering, Computer Science, Operations Research, or related field and 3 years of experience in the job offered or in a related occupation.
• Position requires:
  • Data manipulation and data visualization, ability to handle large-scale and unstructured data, experienced in data manipulation and transformation, generate informative data visualization to uncover underlying trends/insights, and build customer-facing dashboards (e.g.Tableau, looker) to power self-serve insights;
  • Analytical skills using proven business frameworks (SWOT analysis, balanced scorecard, benchmarking, and competitive analysis) and effective root-cause analysis;
  • Mathematical and statistical analysis, ability to translate data-driven insights into understandable visuals for senior management, and application of statistical experimentation methods (e.g., time series evaluation, difference-in-difference method, and synthetic control method);
  • Machine learning modeling, ability to build scalable ML models end-to-end, predicting business outcomes and enabling downstream business decisions;
  • Causal inference, ability to leverage causal inference models to infer incrementality from observational data and build trust from stakeholders on those lift estimates;
  • Optimization and simulation, ability to simulate different scenarios (e.g. user distribution and competitor strategies) and design optimization framework to inform business decisions;
  • Python and SQL in data extraction and modeling, has experience with database system designing and data modeling implementation (eg, designing and deploying data pipelines), and can independently translate innovative algorithms into production-ready modular codes;
  • Experience with the GIT version control system.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.