Jobs / United States / Uber
Senior Scientist - Driver Incentives
Uber · 🇺🇸 New York, NY; San Francisco, CA; Seattle, WA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 689 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Uber paid sponsored hires in similar roles23 certified filings for “Scientist” (Data Scientists) in NY: $153k–$194k, median $170k. Most were filed at wage level IV (47%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Uber
The US Department of Labor certified 689 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Uber →
About the role
About the Role We are looking for candidates with a passion for solving business problems with data. In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, and/or operations research to improve the Uber user experience as well as the overall marketplace performance. You'll be joining the Driver Incentive team to design, evaluate, a build promotional products for drivers As a Senior Scientist you will solve key business problems including designing incentives structures for drivers, measuring causal impacts of promotions, and creating ML-driven optimizations for marketplace growth. You will work hand in hand with product, engineering, and operations on new product launches, experiment design and algorithm development. We are a fast-moving team and are looking for creative and curious minds to join us! What You'll Do • Build statistical, optimization, and machine learning models for applications including pricing, targeting, and experimentation. • Work with engineers and product managers to turn data science prototypes into robust, reliable solutions. • Use data to understand product performance and to identify improvement opportunities. • Solve ambiguous, challenging business problems using data-driven approaches. • Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction. • Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation. • Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product. Basic Qualifications • Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields. • Minimum 2 years of industry experience as an Applied or Data Scientist or equivalent. • Ability to use Python, SQL, or similar technologies to work efficiently with large data sets • Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators Preferred Qualifications • Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams. • Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python. • Experience leading key technical projects and substantially influencing the scope and output of others. • Knowledge of experimental design and analysis or experience with exploratory data analysis and model development • Experience communicating qualitative research methods and findings to non-qualitative researchers • Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team • Solid theoretical and applied ML skills and a strong background in mathematics and stats • Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala • Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference • Experience of working with large dataset using Spark, Hive, HDFS is desired • Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques • Thought leadership to drive multi-functional projects from concept to production. For New York, NY-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year. For San Francisco, CA-based roles: The base salary range for this role