Staff Scientist: Scalable ML & Experimental Design

Uber; New York (NY); On-site; USD 216,000 - 240,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k) plan

Benefits

Job summary

Uber is seeking a Staff Scientist to tackle global-scale challenges in how millions move in the real world. You are a technical multiplier who shapes both systems and strategy, mentoring others and influencing executive roadmaps.

This leadership role requires navigating ambiguity, turning unstructured problems into rigorous experiments, and delivering productionized solutions that move Uber’s business. You will architect algorithms and promote best practices across teams.

Qualifications

• PhD/MS/BS in Statistics, CS, Applied Mathematics, OR other quantitative fields.
• MS: 6+ years industry experience; BS: 8+ years industry experience.
• Deep expertise in statistical inference and experimental design (A/B, switchbacks, cluster-randomized trials).
• Proficiency in SQL and Python to work with large-scale datasets (Spark, Hive, Presto).

Responsibilities

• Translate strategically important, unstructured problems into rigorous experiments and productionized solutions that move the needle for Uber’s global business.
• Lead the architecture and design of next-generation algorithms, promoting coding best practices and framework adoption across the organization.
• Set the science strategy and experimentation standards across multiple teams, ensuring scientific rigor and organization-wide adoption of best practices.
• Act as a technical multiplier, identifying opportunities for better performance, efficiency, and reduction of technical debt in software, models, and processes.
• Influence executive-level roadmaps by presenting complex technical findings and long-term strategic recommendations to senior leadership.
• Own the technical trajectory of critical product areas, ensuring solutions are extensible, modular, and observable while balancing short-term needs and long-term productivity.

Skills

Statistical inference

Experimental design

SQL

Python

Education

Quantitative degree (PhD/MS/BS)

Tools

Spark

Hive

Presto

Job description

Uber is seeking a Staff Scientist to tackle global-scale challenges in how millions move in the real world. You are a technical multiplier who shapes both systems and strategy, mentoring others and influencing executive roadmaps.

This leadership role requires navigating ambiguity, turning unstructured problems into rigorous experiments, and delivering productionized solutions that move Uber’s business. You will architect algorithms and promote best practices across teams.