Senior Scientist - Marketplace (Multiple Teams)

Uber Technologies Inc.; San Francisco (CA); Hybrid; USD 190,000 - 211,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Competitive benefits

In-office collaboration

Job summary

Uber Technologies Inc. is seeking an experienced Data Scientist in the Science org to tackle end-to-end product development from data, analytics, modeling, and experimentation perspectives.

You will prototype ML, optimization, causal inference, and marketplace models to generate data-driven insights and inform decisions across Uber's mobility and logistics platforms. You will design and analyze experiments, develop logging and metrics, and partner with cross-functional teams to prioritize

Qualifications

• Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
• 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
• Background in at least one programming language (e.g. Python, R, Java, Ruby, Scala/Spark or Perl)
• Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
• Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

Responsibilities

• End-to-end product development from a data, analytics, modeling, and experimentation perspective.
• Prototype ML, optimization, causal inference, and marketplace models.
• Develop data-driven business insights and work with cross-functional customers to prioritize initiatives.
• Design and analyze experiments and present actionable recommendations.
• Define metrics and measurement approaches with cross-functional partners.
• Own the product development cycle end to end from data and science perspectives.

Skills

Statistical modeling

Machine learning

Data analysis

SQL proficiency

Python/R programming

Experiment design

Cross-functional collaboration

Communication

Education

Quantitative degree (PhD/MS/Bachelors)

Tools

Python

R

SQL

Job description

About the Role of Science

End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.

We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas including:

• A central pillar of Uber’s delivery products, serving as the \"brain\" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.
• We enhance user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.

What you will do

• Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.
• Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
• Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
• Design and analyze experiments, and present results that provide actionable recommendations.
• Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization, and diagnostic tools, and experimentation paradigms.
• Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
• Own the product development cycle end to end from data and science aspects.

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
• 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
• Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)
• Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
• Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
• Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

Preferred Qualifications

• Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.
• Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Experience in leading key technical projects and substantially influencing the scope and output of others
• Thought leadership to drive multi-functional projects from concept to production.
• Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform.
• Experience with exploratory data analysis, statistical analysis and model development
• Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala

For New York City, NY-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence.

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.