Scientist II, Earner Experience

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$161,000–$161,000 / yr
Posted
60 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k
This role $161k
$121k most similar roles pay here $236k

This role pays less than 69% of similar roles. Most pay $135,000–$221,000 — the shaded band above. At the midpoint, this role pays about $161k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 329 open roles on FindRole.

Listed pay typically runs $202,000–$202,000 across 71 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Scientist II, Earner Experience

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Join the Earner Experience team as a Scientist II and leverage your expertise in economics, operations, machine learning, and statistical modeling to enhance Uber’s marketplace efficiency. Your daily tasks will include developing innovative solutions using algorithms for production impact, driving clarity on ambiguous business problems through data analysis, and designing experiments to inform product decisions. You’ll work closely with engineering and product teams to implement these solutions, communicate findings to senior management, and recommend improvements based on data insights. Ideal candidates have 2+ years of industry experience in quantitative roles, proficiency in SQL and Python or R for complex data manipulation, and a background in designing large-scale A/B experiments. Advanced statistical techniques and a proven track record of influencing product strategy are preferred.

Skills

Python R SQL Machine Learning Statistical Modeling A/B Testing Data Analysis Experiment Design Causal Inference Predictive Modeling Analytics CI/CD

What you'll do

  • Develop algorithms using machine learning and statistical modeling to solve business problems.
  • Propose data analysis frameworks to drive business insights and facilitate decision-making.
  • Design and interpret product experiments to draw detailed conclusions for improvement.
  • Leverage data to understand product performance and identify enhancement opportunities.
  • Communicate complex data-driven findings to senior management and cross-functional teams.

What we're looking for

  • 2+ years of industry experience in data science or related quantitative field.
  • Bachelor’s degree in a quantitative discipline such as Statistics, Economics, Computer Science, Engineering, or Operations Research.
  • Proficiency in SQL and Python/R for complex data manipulation and analysis.
  • Experience designing and analyzing large-scale A/B experiments.
  • Ability to lead projects independently and navigate ambiguity effectively.
  • Preferred: M.S. or Ph.D. in a quantitative field.
  • Preferred: Deep expertise in advanced statistical techniques including causal inference and predictive modeling.

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