Marketing Science Lead — AI, Causal Inference & ML

Uber; United States; On-site; USD 252,000 - 280,000; Full time

Job summary

Uber’s Marketing team seeks a Senior Manager of Applied Science to lead strategic measurement and quantify the impact of marketing investments. You will oversee 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.

Responsibilities include turning business problems into scientific roadmaps, building the experimentation stack, and driving AI/ML

Qualifications

• 7+ years in Applied Science, Quantitative Research, or ML in tech/ad-tech.

Responsibilities

• Translate business challenges into scientific roadmaps and experimental plans.
• Build and scale geo-experiments, conversion lift studies, and synthetic controls.
• Triangulate measurement with MMM and attribution models against experimental results.
• Coach and lead Applied Scientists (L4–L5+).
• Integrate AI, predictive ML, and LTV modeling into production systems.
• Collaborate with Marketing, Media, Ops, and Engineering leadership.

Skills

Applied science leadership

Quantitative research

Machine learning

Executive communication

Causal inference

Python

SQL

Big data technologies

Education

PhD or MS in a quantitative field

Tools

Python

SQL

ML frameworks

Job description

Uber’s Marketing team seeks a Senior Manager of Applied Science to lead strategic measurement and quantify the impact of marketing investments. You will oversee 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.

Responsibilities include turning business problems into scientific roadmaps, building the experimentation stack, and driving AI/ML