Scientist II, Tech

About the role and team 

Working in Science at Uber means solving complex, real-world problems that don't always have a textbook solution. You will be part of a team that turns massive amounts of data into actionable insights, influencing everything from marketplace efficiency to user experience. In this role, you’ll be a technical "detective," unpicking data-driven puzzles in a high-stakes, fast-moving environment. You’ll thrive here if you stay calm under pressure, embrace the "messy" reality of imperfect datasets, and have the grit to move projects from hypothesis to production.

This is a role for an owner who is energized by the challenge of building at scale. You will navigate the ambiguity of shifting priorities and internal complexity, ensuring that our data-driven products are robust, reliable, and grounded in sound statistical principles. If you're sharp, steady, and motivated by meaningful impact at global scale this is where you’ll grow.

Rate of Pay:                 $161,000 to $197,000 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. 

What you’ll do 

• Leverage data to perform intensive analysis across all areas of business to drive product development. 
• Design experiments and analyze results to draw conclusions. 
• Perform time-series analyses to statistically assess relative impact and extract trends. 
• Build models to enhance understanding of user behavior and predict future performance of cohorts. 
• Create dashboards and reports to regularly communicate results and monitor key metrics. 
• Extract data from warehouse, back-test the model, and compare the model performance and communicate the results. 
• Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. 
• May telecommute.
   

Basic Qualifications 

• Employer will accept a Bachelor's degree in Engineering (any), Information Technology, Information Management, Information Systems, Mathematics, Statistics, Economics, or related field and 1 year of experience in the job offered or in a related occupation.
• Position requires:
  • R or Python;
  • Database query languages: SQL;
  • Experimentation techniques including simulation or A/B testing;
    • Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
      Developing relevant metrics;
  • KPIs to measure performance by teams using SQL, R, or Python;
  • Quantitative modeling including machine learning models, time-series forecasting, or causal impact analyses;
  • Data visualization and dashboarding: R, Python or Tableau.