Staff Scientist, Tech

Uber

9 - 14 years

9 - 13 Lacs

bengaluru

Posted:22 hours ago| Platform:

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Skills Required

machine learning causal analysis r data analysis spark statistical analysis sql ml model development

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the role

As the Science Tech Lead (Individual Contributor) for the Hailables charter, youll be at the heart of product development, guiding the science direction for a team of 57 talented scientists based in India. Youll work closely with Engineering and Product partners to define strategy, shape roadmaps, and drive execution. You will bring data, algorithms, and business context together to solve complex, real-world problems.
In this role, you wont just influence - youll build. Whether it's designing machine learning models to improve matching and pricing, uncovering insights through rigorous experimentation, or applying statistical thinking to shape product levers, youll lead by example. Youll also mentor team members, foster a culture of scientific excellence, and build strong cross-functional relationships with global stakeholders across time zones.
This is a rare opportunity to lead from the front: as a senior IC, youll own the scientific vision while staying hands-on, solving meaningful problems that impact millions of users across Ubers fastest-growing mobility products.

Basic Qualifications

Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.
9+ years of industry experience as an (Applied / Data) Scientist or equivalent.
Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
Experience in experimental design and analysis.
Proficiency using Python, Spark at scale with large data sets.
Experience with tools like SQL, R in a production environment.

Preferred Qualifications

Masters/Ph.D. Degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.
Experience in tech or marketplace industries.
Experienced in partnering with cross-functional stakeholders to execute decisions.
Ability to mentor, coach and develop junior team members.
Superb communication and organisation skills.

What the candidate will do

Define the science roadmap in collaboration with Product and Engineering, identifying key opportunities to improve rider and driver experience across autos, bike taxis, and metered cabs.
Design and prototype machine learning and statistical solutions to solve core marketplace challenges like pricing, matching, and user funnel optimization.
Lead experimentation efforts (A/B, switchback, quasi-experiments), ensuring methodological rigor and high-quality insights.
Define and monitor key tech OKRs, ensuring the right metrics are in place and tracked accurately to guide product and engineering execution.
Improve data quality, observability, and reliability by partnering with Engineering on logging, metrics, and pipelines.
Conduct deep-dive analyses to generate actionable insights and influence product direction.
Mentor scientists and promote a culture of excellence in modeling, experimentation, and analytics.
Communicate scientific work and outcomes clearly to cross-functional stakeholders and leadership.

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