Marketing Science Lead — Applied AI & Causal Inference

Uber; San Francisco (CA); On-site; USD 252,000 - 280,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k) plan

Benefits

Job summary

Uber is hiring a Senior Manager of Applied Science to lead measurement and quantify the impact of marketing investments. 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 a next-generation marketing science stack.

You will build geo-experiments, conversion lift studies, MMM, and attribution models, while scaling a team of scientists and driving AI innovations for budget

Qualifications

• 7+ years in Applied Science, quantitative research, or ML in tech/ad-tech.
• 3+ years leading and growing science teams.
• Executive communication with stakeholders to simplify statistics.
• Proven ability to translate business goals into scientific strategy.
• Deep expertise in causal inference and scalable experiments.
• Strong ML, predictive modeling, and AI in enterprise settings.

Responsibilities

• Translate business challenges into scientific roadmaps and analysis plans.
• Build the experimentation stack with geo-experiments and lift studies.
• Triangulate measurement using MMM and attribution models.
• Scale and lead scientists, setting high standards.
• Drive AI/ML innovation in production systems for budgeting decisions.
• Partner with Marketing, Media, Ops and Eng to drive decisions.

Skills

Applied Science

Quantitative Research

Machine Learning

Executive communication

Causal inference

Experimentation at scale

Python

SQL

Big data

Leadership

Education

PhD or MS in Statistics/Econometrics/ Economics/ CS/ ML

Tools

Python

SQL

ML frameworks

Big data tools

Job description

Uber is hiring a Senior Manager of Applied Science to lead measurement and quantify the impact of marketing investments. 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 a next-generation marketing science stack.

You will build geo-experiments, conversion lift studies, MMM, and attribution models, while scaling a team of scientists and driving AI innovations for budget