Data Scientist II, Tech

Uber; San Francisco (CA); Hybrid; USD 164,000 - 174,000; Full time

Job summary

Uber in San Francisco is seeking a Data Scientist II to turn complex data into actionable insights that improve the rider, earners, and merchant experience globally. You will own end-to-end analyses from question refinement to implementation, building dashboards and monitoring systems to ensure reliability across platforms.

The role emphasizes independence, cross-functional collaboration with Product, Engineering, and Operations, and ownership of projects with significant impact.

Qualifications

• Bachelor’s degree in a quantitative field and 4 years of related experience.
• Proficiency with SQL and data visualization tools.
• Experience with big data frameworks and statistical analysis.
• Ability to translate business questions into data science roadmaps.

Responsibilities

• Design and analyze experiments in collaboration with product teams.
• Monitor business trends and flag insights, partnering with stakeholders.
• Deep dive analyses to answer abstract product questions.
• Develop dashboards with reliable insights across all business lines.
• May telecommute.

Skills

SQL

R/Python

A/B testing

KPIs & metrics

Cross-functional collaboration

Data visualization

Education

Bachelor's degree in Statistics, Economics, ML, OR or related field

Tools

Tableau

Looker

Amplitude

Mixpanel

Spark

Hive

Job description

About the role and team

Science at Uber means transforming the complex reality of global data into the insights that power our most significant decisions. As a Data Scientist II, you will turn complexity into clarity by deep-diving into massive datasets to solve features of moderate complexity and projects with multiple dependencies. This is an analytics-focused role where you will independently refine ambiguous questions and translate business requirements into system designs that improve the user journey for millions of riders, earners, and merchants worldwide.

You will join a high-stakes environment where the work is fast-moving, and the results are felt in the real world every day. Building and maintaining collaborative relationships with Product, Engineering, and Operations, you will lead the analysis of key product areas and establish monitoring systems to ensure code and platform reliability. This role is about taking ownership and driving impact — if you want to navigate the messy reality of global business challenges through data and own your work from inception to implementation, this is where you’ll grow.

Rate of Pay: $164,403 to $174,000 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

• Work closely with the web product team to design and analyze experiments.
• Monitor and understand business trends, proactively flag them and work with stakeholders to strategize on solutioning.
• Conduct deep dives to develop/help answer abstract questions about product usage.
• Develop dashboards that provide reliable insights and visualization into all lines of businesses (LOBs) that touch or web platforms.
• May telecommute.

Basic Qualifications

• Employer will accept a Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, Quantitative Management, or related field and 4 years of experience in the job offered or in a related occupation.
• Position requires:
  • Database query languages including SQL;
  • Data visualization using tableau or similar BI tools like looker, amplitude, or mixpanel;
  • Performing scalable analysis using R or Python;
  • Experimentation techniques & statistical analysis including A/B testing, descriptive statistics, correlation, or confidence intervals;
  • Developing relevant metrics or KPIs to measure performance by product teams;
  • Collaborate cross-functionally and communicate complex topics through powerpoint presentations and analysis reports to audiences with different backgrounds;
  • Translating high-level organizational objectives into technical data science roadmaps and specific machine learning project requirements to ensure analytical outputs directly support business goals;
  • Experience with big data frameworks such as Spark and Hive for scalable data processing.

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.