Sr Scientist, Tech

Uber; San Francisco (CA); Hybrid; USD 201,000 - 232,000; Full time

Job summary

Uber is seeking a data science leader in San Francisco to turn massive, unstructured data into actionable plans. You will bridge technical depth and business impact, owning projects from inception to production, with a focus on speed and scale.

You will design experiments, build AI systems, and present insights to executives while collaborating across teams. The role emphasizes critical thinking, ownership, and urgency in shaping how people and goods move in the real world.

Qualifications

• Bachelor's degree in CS/Statistics/Economics/Engineering or related field with 5 years of progressive post-baccalaureate experience.
• Apply experimentation methods including time series evaluation, difference-in-difference, and synthetic control.
• Proficiency in Python, R, and SQL for data extraction, cleansing, and development of predictive ML models.
• Forecast industry trends and make data-driven decisions impacting company objectives and long-term strategy.
• Foresight in roadmapping and managing high-risk data science programs, identifying data crises or changes in metrics movements.
• Apply project management frameworks (RAPID decision-making, Gantt charts) to ensure timely delivery of complex data science projects.
• Use ROI and Break-Even Analysis to determine data models/features with highest business value.
• Apply analytical frameworks (SWOT, benchmarking, root-cause analysis) to solve ambiguous problems.
• Negotiate and oversee technical resource allocation and priorities across cross-functional teams.

Responsibilities

• Refine ambiguous questions and generate hypotheses about the product using data, customers, and business context.
• Design experiments and interpret results to inform decisions.
• Define success metrics with cross-functional partners and create AI systems to monitor metric movements.
• Develop data-driven insights and work with teams to improve long-term strategy and roadmaps.
• Collaborate with Scientists and Engineers to build and improve data foundations.
• Present findings to business and executive audiences.
• May telecommute.

Skills

Experiment design

Data analysis

Forecasting

Cross-functional collaboration

Project management

ROI analysis

Root-cause analysis

Negotiation & resource allocation

Education

Bachelor's degree in Computer Science, Statistics, Economics, Engineering or related field

Tools

Python

SQL

R

Job description

About the role and team

Working in Science at Uber means solving complex problems in a high-stakes, fast-moving environment. You’ll turn massive amounts of unstructured data into focused plans of execution, navigating ambiguity to build technologies that directly influence every decision made in our marketplace. This isn't just about building models; it’s about making smart decisions with imperfect information and owning the outcomes in an environment where speed and scale can't be separated.

In this role, you’ll be the bridge between technical depth and business impact, solving messy, high-priority problems that don’t always have a textbook solution. You’ll thrive here if you possess an owner’s mindset, stay calm under pressure, and have the grit to drive projects through their entire lifecycle from idea inception to production. We’re looking for someone who thinks critically and moves with urgency to shape the future of how people and things move in the real world.

Rate of Pay:

$200,600 to $232,000 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

• Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business.
• Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions.
• Define how our teams measure success by developing metrics in close partnership with cross functional partners and creating AI systems to understand metric movements.
• Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the long-term strategy and product roadmaps.
• Collaborate with other Scientists and Engineers to build and improve data foundations.
• Present findings to business and executive audiences.
• May telecommute.

Basic Qualifications

• Employer will accept a Bachelor's degree in Computer Science, Statistics, Economics, Engineering, or related field, followed by 5 years of progressive, post-baccalaureate experience in job offered or in a related occupation.
• Position requires:
  • Apply experimentation methods including time series evaluation, difference-in-difference, and synthetic control to translate raw data into insights for senior management.
  • Python, R, and SQL for data extraction, cleaning, and the development of predictive machine learning models across internal and external data tools.
  • Leverage external knowledge and statistical techniques to forecast industry trends and make data-driven decisions that impact company objectives and long-term strategy.
  • Proactive foresight in roadmapping and managing high-risk data science programs, including identifying potential data crises or changes in metric movements.
  • Apply project management frameworks (such as RAPID decision-making or Gantt charts) to ensure the technical integrity and timely delivery of complex data science projects.
  • Utilize prioritization approaches, such as Return-on-Investment (ROI) and Break-Even Analysis, to determine which data models or features will provide the highest business value.
  • Apply proven analytical frameworks (like SWOT analysis, benchmarking, and root-cause analysis) to interpret complex datasets and solve ambiguous business problems.
  • Negotiate and oversee technical resource allocation and priorities among cross-functional teams to ensure on-time delivery of scalable data products.

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. Ask your Recruiter for details about this role's requirements.

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.