About the Role
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 Data Scientist in the Platform Engineering organization, you get to use your quantitative skills, 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!
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 find 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)
• Experience in at least one scripting language (SQL, Python, or R preferred)
• Basic understanding of experimental design (such as A/B experiments) and statistical methods
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, Google Data Studio etc.)
• Ability and experience in extracting insights from data, and summarizing findings/takeaways

Preferred Qualifications

• Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning, or other quantitative fields
• Past experience as developer using devops methodology
• 5+ years of experience
• Advanced SQL and Hadoop expertise
• 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 collaborate 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.
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please let us know by completing this form