Scientist II, Tech - Science

Uber; Bengaluru; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

Uber Technologies Inc. in Bengaluru seeks a Data Scientist to turn massive data into actionable insights, shaping marketplace efficiency and user experience. You’ll be a technical detective, moving from hypothesis to production in a fast-paced environment.

You will build ML models, design experiments (A/B and causal inference), collaborate with product, engineering and operations, and help define success metrics while scaling data pipelines for global products.

Qualifications

• Ph.D., MS, or BS degree in statistics, computer science, math, engineering, economics or other quantitative field.
• 2+ years of industry experience with MS; 3+ years with BS (as stated in the qualifications).
• Proficiency in Python or R for statistical analysis and prototyping.

Responsibilities

• Develop data-driven insights in collaboration with Product, Engineering and Operations.
• Build statistical and machine learning models for production enhancements.
• Design and analyze experiments (A/B testing, causal inference) and present actionable results.
• Drive technical excellence with logging, metrics and diagnostics for data-driven development.
• Define success metrics with stakeholders to measure impact accurately.

Education

Ph.D.

MS

BS

Tools

SQL

Python

Spark

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.

What you’ll do

• Develop data-driven insights and collaborate with cross-functional partners: Product, Engineering, and Operations to identify opportunities and prioritize optimization initiatives.
• Build statistical and machine learning models to provide strategic insights and real-time production enhancements to global products.
• Design and analyze experiments using A/B testing and causal inference, presenting results that provide actionable recommendations for product growth.
• Drive technical excellence by creating logging, metrics, and diagnostic tools that orient our teams around data-driven product development.
• Define success metrics in close partnership with stakeholders to ensure our teams are measuring impact accurately and consistently.
• Navigate technical debt and scale, ensuring our models and data pipelines are designed to be extensible and observable as the business evolves.

Basic Qualifications

• Ph.D., M.S., or B.S. degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Economics, or other quantitative fields.
• If M.S. degree, a minimum of 2+ years of industry experience required; if B.S. degree, a minimum of 3+ years of industry experience required.
• Proficiency in at least one programming language (e.g., Python or R) for statistical analysis and algorithm prototyping.
• Experience working with large-scale datasets (SQL, Python, Spark, or similar) to solve complex business problems.
• Proven ability to design experiments and interpret results to drive actionable conclusions.

Preferred Qualifications

• Exceptional Communication Skills: A track record of conveying complex technical findings in a manner that is easy for marketers and non-technical partners to understand.
• Systems Thinking: Demonstrated ability to understand customer problems and translate them into robust system designs and model architectures.
• Technical Resilience: Experience solving strategically important problems in high-ambiguity environments, often without a predefined playbook.
• Operational Excellence: Familiarity with Spark, Hive, or HDFS for handling 100M+ scale datasets in production.

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.