Senior Scientist, Fares Platform — ML & Experiments

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

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Comprehensive benefits

Job summary

Uber Technologies Inc. is seeking a Scientist for the Fares platform to design experiments, perform causal inference, and develop models that impact pricing, user experience, and operations. You will work with cross-functional teams across product, engineering, and ops to drive strategy.

You will communicate findings to leadership and help shape the roadmap for fares across Uber and Uber Eats. A PhD/MS/BS in a quantitative field with 3+ years of applied data science experience and fluency in SQL

Qualifications

• PhD, MS, or Bachelor's degree in Computer Science, Statistics, Economics, Machine Learning, or other quantitative fields.
• 3+ years of industry experience as an Applied or Data Scientist or equivalent.
• Experience with experiment design, exploratory data analysis, causal inference and model development.

Responsibilities

• Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
• Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.
• Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy.
• Influence the product roadmap for fares and several cross-organizational teams (like maps, matching, growth, UX, Ops).
• Build ML models to solve complex problems and create AI agents to automate data science workflows.
• Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.

Skills

Experiment design

Exploratory data analysis

Causal inference

Model development

Education

PhD/MS/BSc in quantitative field

Tools

SQL

Python

R

Job description

Uber Technologies Inc. is seeking a Scientist for the Fares platform to design experiments, perform causal inference, and develop models that impact pricing, user experience, and operations. You will work with cross-functional teams across product, engineering, and ops to drive strategy.

You will communicate findings to leadership and help shape the roadmap for fares across Uber and Uber Eats. A PhD/MS/BS in a quantitative field with 3+ years of applied data science experience and fluency in SQL