Uber · 1 day ago
Applied Scientist, Marketing Measurement
New York, NY
Full-time
Onsite
Entry, Mid Level
$155K/yr - $172K/yr
2+ years expUber is committed to science-backed decision making through its marketing measurement team, and they are seeking an Applied Scientist to contribute to building models and processes for incrementality measurement. The role involves developing statistical models, designing experiments, and collaborating with cross-functional teams to ensure effective decision-making systems across marketing efforts.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Develop and apply statistical and causal inference models to estimate the incremental impact of marketing across channels, markets, and test designs
Design custom tests & analyze results from complex experiments, including multi-cell, market-level, and longitudinal tests
Contribute to foundational modeling efforts such as hierarchical smoothing, aggregation across tests, and handling of low-signal or sparse data
Assist in research on advanced topics, including learning elasticity with experiments and analyzing event relationships to improve experiment accuracy and interpretation
Partner with Product and Engineering to integrate incrementality models into reporting and decision-making workflows
Research and help establish best practices for experiment design, post-analysis interpretation, and measurement tradeoffs
Collaborate with other Applied Science and Data Science teams to align incrementality outputs with broader measurement and investment frameworks
Qualification
Required
Bachelor's degree or higher in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline
2+ years of experience applying statistical and causal inference methods to real-world data in an applied setting
Strong foundation in statistical modeling, hypothesis testing, and experimental design, including A/B testing, incrementality, or quasi-experimental methods
Hands-on experience designing, analyzing, and interpreting experiments, including evaluation of uncertainty, limitations, and tradeoffs
Proficiency in Python or R and SQL for analyzing and modeling large, complex datasets
Experience working with marketing, growth, advertising, or similar business domains where measurement and investment decisions are central
Ability to clearly communicate analytical insights to technical and non-technical stakeholders and collaborate effectively in cross-functional teams
Demonstrated ability to collaborate effectively in cross-functional, fast-moving environments
Preferred
Bachelor's, Master's or PhD in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Computer Science), or equivalent applied industry experience
Experience with advanced statistical or modeling techniques such as hierarchical / multi-level models, time-series analysis, or meta-analysis
Experience with incrementality testing, geo-experiments, or marketing measurement use cases (e.g., attribution, MMM, or related frameworks)
Familiarity with marketing investment concepts such as elasticity, budget allocation, or cross-channel tradeoffs
Experience contributing to shared codebases or production-adjacent analytics systems, including collaboration with Product or Engineering partners
Ability to independently drive scoped projects end-to-end with guidance, and operate effectively in ambiguous or evolving problem spaces
Curiosity and learning mindset, with demonstrated ability to ramp quickly on new domains, tools, or methodologies
Benefits
You will be eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
You will also be eligible for various benefits
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10001+ employees
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B
Leadership Team
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
2026-01-08
2026-01-08
The Philadelphia Inquirer
2026-01-08
Company data provided by crunchbase