What you'd actually do

Lead teams of scientists (applied scientists and data scientists) to drive organizational strategy as well as product and business decisions through advanced analytics, experimentation, and modeling.

Define strategic priorities, ensure cross-functional alignment, set team(s) direction, prioritize across projects, and ensure alignment with strategic goals.

Set direction and guide the development of statistical methods—including causal inference, time-series analysis, and predictive modeling—to assess impact, uncover trends, and inform initiatives.

Oversee organizational planning, strategic staffing decisions, and performance management, including setting goals, conducting assessments, and supporting career development.

Ensure delivery of high-impact initiatives by defining success metrics, tracking progress and outcomes, and synthesizing insights into executive-facing presentations and narratives.

Skills

Required

SQL
R
Python
Experimentation techniques (simulation or A/B testing)
Statistical analysis (descriptive statistics, correlation, regression, confidence intervals)
Quantitative modeling (machine learning models, time-series forecasting, causal impact analyses)
Big data frameworks (Spark, Hive)
Git/GitHub
Advanced causal inference techniques (synthetic control methods, difference-in-differences, propensity score matching)

Nice to have

Causal inference
Time-series analysis
Predictive modeling
Developing relevant metrics or KPIs
Collaborating cross-functionally
Communicating complex topics
Translating analytical results into business implications
Aligning data science efforts with organizational strategy

Employer: Uber Technologies, Inc.

Job Title: Manager, Applied Science

Job Location: Boston, Massachusetts

Job Type: Full Time

Rate of Pay: $234,500 to $238,000 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Duties: Lead teams of scientists (applied scientists and data scientists) to drive organizational strategy as well as product and business decisions through advanced analytics, experimentation, and modeling. Define strategic priorities, ensure cross-functional alignment, set team(s) direction, prioritize across projects, and ensure alignment with strategic goals. Set direction and guide the development of statistical methods—including causal inference, time-series analysis, and predictive modeling—to assess impact, uncover trends, and inform initiatives. Oversee organizational planning, strategic staffing decisions, and performance management, including setting goals, conducting assessments, and supporting career development. Own headcount planning and hiring to meet evolving business needs. Drive a culture of operational excellence, innovation, and impact across a multi-layered team. Ensure delivery of high-impact initiatives by defining success metrics, tracking progress and outcomes, and synthesizing insights into executive-facing presentations and narratives. Partner with other science, cross-functional teams like marketing, operations, product, engineering, policy, or legal, and executive leadership to translate complex business needs into scalable science solutions. Supervises at least one (1) Applied Scientist/15-2051 Data Scientist. May telecommute.

Employer will accept a Master's degree in Economics, Engineering (Any), Information Technology, Information Management, Mathematics, Statistics or a related field and 3 years of experience in the job offered or related occupation.

Position requires:

Database query languages including SQL;
Performing scalable analysis using R or Python;
Experimentation techniques including simulation or A/B testing;
Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
Developing relevant metrics or KPIs to measure performance by product teams;
Quantitative modeling including machine learning models, time-series forecasting, or causal impact analyses;
Ability to collaborate cross-functionally and communicate complex topics to audiences with different backgrounds;
Translating complex analytical results into clear business implications;
Aligning data science efforts with organizational strategy;
Experience with big data frameworks (e.g., Spark, Hive) for scalable data processing;
Proficiency with Git/GitHub for managing collaborative codebases and ensuring reproducibility;
Knowledge of advanced causal inference techniques (e.g., synthetic control methods, difference-in-differences, or propensity score matching).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.