Senior Marketing Science Leader: Causal ML & AI

Uber Technologies Inc.; San Francisco (CA); Hybrid; USD 252,000 - 280,000; Full time

Benefits offered by this job

401(k) plan

Equity award

Bonus program

Job summary

Uber Technologies Inc. in San Francisco is seeking a Senior Manager of Applied Science to lead strategic measurement across Marketing.

You will guide a team of scientists at the intersection of causal inference, ML, and marketing technology, partnering with Marketing, Media, Operations, and Engineering to deploy Uber’s next‑gen marketing science stack with real‑time, multi‑million dollar impact. The role requires 7+ years in applied science and 3+ years of people management, plus strong

Qualifications

• 7+ years in Applied Science, Quantitative Research, or ML in tech or ad-tech.
• 3+ years of direct people management experience leading science teams.
• Exceptional executive communication skills—able to explain complex stats to business leaders.
• Deep expertise in causal inference and experimentation at scale (geo-experiments, conversion lift, synthetic controls).
• Strong foundation in machine learning, predictive modeling, and applied AI in enterprise environments.
• Proficiency in Python, SQL, and modern AI/ML frameworks.

Responsibilities

• Translate Business to Science: turn business challenges into scientific roadmaps, plans, and frameworks.
• Build the Experimentation Stack: lead our core measurement engine with geo-experiments and lift studies.
• Triangulate Measurement: combine experiments with MMM and attribution for robust insights.
• Scale & Lead Scientists: coach and mentor Applied Scientists (L4–L5+).
• Drive AI & ML Innovation: integrate AI/ML into production to optimize budgets and decisions.
• Stakeholder Management: partner with Marketing, Media, Ops, and Engineering leaders to translate stats into action.

Skills

Causal inference

Experimentation

Executive communication

Python

SQL

ML frameworks

Big data

Education

PhD or MS in Statistics, Econometrics, Economics, CS, ML, OR

Tools

Marketing Mix Models (MMM)

Geo-experiments tooling

Job description

Uber Technologies Inc. in San Francisco is seeking a Senior Manager of Applied Science to lead strategic measurement across Marketing.

You will guide a team of scientists at the intersection of causal inference, ML, and marketing technology, partnering with Marketing, Media, Operations, and Engineering to deploy Uber’s next‑gen marketing science stack with real‑time, multi‑million dollar impact. The role requires 7+ years in applied science and 3+ years of people management, plus strong