Jobs: 3164
Headquarter: United States

Senior Data Scientist - Uber Freight


The Uber Freight Shipper team supports all of our customer-facing products.  The team focuses on proper instrumentation to understand business performance, experimentation to evaluate new features and products, and modeling to improve customer experience. As a Sr. Data Analyst on the team, you will build frameworks, proactively surface insights, and develop monitoring to guide and communicate our product and algorithm development. Working alongside data scientists, engineers, and product managers, you will make sure that data is properly instrumented, validated, analyzed, and presented in order to make data-informed decisions. Along with demonstrating technical and analytical skills, you will manage stakeholders to drive consensus.

What you'll do

  • Generate ideas for exploratory analysis to shape product and algorithm development
  • Leverage data to perform intensive analysis across all areas of our marketplace to drive product development and business strategy
  • Instrument events and develop metrics and dashboards to monitor our performance
  • Contribute to experiment design and interpret the results to draw detailed and actionable conclusions
  • Perform rigorous statistical analysis to understand the relationship between various marketplace factors that influence key outcomes
  • Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing
  • Present findings to senior management to drive product decisions
Basic Qualifications
  • M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Product Analyst or equivalent)
  • Advanced SQL expertise
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods
  • Ability and experience in extracting insights from data, and summarizing learnings / takeaways
  • Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

Preferred Qualifications
  • Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
  • 5+ years industry experience in consumer facing product analytics
  • Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
  • Advanced experience with experimental design and statistical methods such as causal Inference.
  • Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds


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Senior Data Scientist - Uber Freight