Senior Marketing Science Lead - Causal AI & ML

Uber Technologies Inc.; New York (NY); On-site; USD 252,000 - 280,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k)

Benefits

Job summary

Uber Technologies Inc. is seeking a Senior Manager of Applied Science to lead strategic measurement for marketing investments.

You will direct a team of applied scientists at the intersection of causal inference, ML, and marketing tech, partnering with Marketing, Media, Ops, and Engineering to deploy Uber’s next-generation marketing science stack. The role demands 7+ years in the field and 3+ years of people management, with deep expertise in causal inference, experimentation, and enterprise ML.

Qualifications

• 7+ years of experience in Applied Science, Quantitative Research, or Machine Learning in tech or ad-tech.
• 3+ years of direct people management experience building and leading science teams.
• Exceptional executive communication skills—able to make complex statistical concepts intuitive for business and executive stakeholders.
• Demonstrated track record of translating broad business objectives into concrete scientific strategy and technical deliverables.
• Deep expertise in causal inference and experimentation at scale (e.g., geo-experiments, conversion lift, synthetic controls, quasi-experiments).
• Strong foundation in machine learning, predictive modeling, and applied AI in enterprise environments.
• Proficiency in Python, SQL, modern AI/ML frameworks, and big data technology.

Responsibilities

• Translate Business to Science: Turn ambiguous business challenges into crisp scientific roadmaps, structured experiment plans, and actionable analytical frameworks.
• Build the Experimentation Stack: Lead our core measurement engine. Build and scale geo-experiments, conversion lift studies, and synthetic controls to establish the scientific ground truth for marketing efficiency.
• Triangulate Measurement: Complement experimental lift with Marketing Mix Modeling (MMM) and multi-touch/algorithmic attribution, calibrating observational models directly against experimental results.
• Scale & Lead Scientists: Coach, elevate, and inspire a team of Applied Scientists (L4–L5+), setting a high bar for scientific rigor, execution speed, and business impact.
• Drive AI & ML Innovation: Integrate modern AI, predictive ML, and LTV modeling into production systems to optimize budget allocation and automated decision‑making.
• Stakeholder Management & Execution: Serve as the core scientific partner to Marketing, Media, Ops, and Engineering leaders across Mobility and Delivery, translating complex statistical methodologies into actionable decision frameworks.

Skills

Executive communication

People management

Causal inference

Machine learning

Experimentation at scale

Stakeholder management

Strategic thinking

Education

Ph.D. or M.S. in Statistics, Econometrics, Economics, Computer Science, ML, OR

Tools

Python

SQL

Big data technologies

ML frameworks

Job description

Uber Technologies Inc. is seeking a Senior Manager of Applied Science to lead strategic measurement for marketing investments.

You will direct a team of applied scientists at the intersection of causal inference, ML, and marketing tech, partnering with Marketing, Media, Ops, and Engineering to deploy Uber’s next-generation marketing science stack. The role demands 7+ years in the field and 3+ years of people management, with deep expertise in causal inference, experimentation, and enterprise ML.