Senior Data Scientist - Developer Analytics

| South Bay
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About the Role
Developer experience and productivity are critical for Uber to continue to innovate and differentiate ourselves and provide a world-class experience for our customers.
The Data Science team within the Platform Engineering team provides analytical insights and solutions for analyzing our developer productivity and processes across the company.
As a Senior Data Scientist in the Platform Engineering organization, you get to use your quantitative skill, obsession, and empathy towards customers, and collaborative spirit to work closely with Product Management, Engineering, and fellow Data Scientists to provide data-driven insights to find new opportunities to take our Development experience to the next level.
We've noticed that the title "Data Scientist" represents a variety of work across the industry. If you're more passionate about building machine learning (ML) or econometric models, please check out the Applied Scientist roles on our career page!
Note on related roles:
While Data Scientists in this role may extend and apply machine learning or statistical models, if you're interested in a role focused on advanced modeling, please check out our Applied Science roles instead.
What You'll Do

  • Refine ambiguous questions and generate new hypotheses about our current experience and productivity through a deep understanding of the data, our metrics, and feedback from our developers and platform development teams
  • Design experiments and interpret the results to draw detailed and impactful conclusions
  • Define how our teams measure success, by developing Key Performance Indicators and other business metrics, in close partnership with our stakeholders in engineering and product management
  • Collaborate with product managers and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging, data pipelines, and the presentation layer
  • Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of projects and programs in our planning initiatives


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 Data Scientist or equivalent)
  • Advanced SQL and Hadoop 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, Google Data Studio etc.)


Preferred Qualifications

  • Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning, or other quantitative fields
  • 4+ years of industry experience
  • 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
  • Strong judgment, critical thinking, and decision-making skills
  • Ability to solve complex business problems that cross multiple product/project areas and teams
  • Balance attention to detail with swift execution
  • Experienced in creating and managing ETLs
  • Good to have skills: Deep/Machine Learning, Machine Learning, Linear Models, Time Series Analysis, Feature Engineering, etc.


About the Team
Platform Engineering Team: The Platform Engineering team is a centralized team that provides infrastructure at scale and develops and maintains the underpinning technology stack that powers the rest of Uber. The pace of software development at Uber is a function of how seamless our developer experience is across our SDLC process and this determines our velocity and pace of delivering a truly differentiating customer-facing experience across Uber Eats, Rides, and Freight
The Platform Engineering Data Science team provides insights and analytical solutions that are timely, accurate, and actionable that improve our developer experience and productivity. We partner closely with a highly cross-functional team including product management, engineering, and technical program management teams to make Uber truly a world-class organization that attracts the best developers in the world.

More Information on Uber
Uber operates in the 3PL: Third Party Logistics industry. The company is located in San Francisco, CA, New York City, NY, Chicago, IL and Seattle, WA. Uber was founded in 2009. It has 21000 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Friends outside of work, Eat lunch together, Intracompany committees and OKR operational model. To see all 79 open jobs at Uber, click here.
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