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Uber Data Scientist II 
United States, West Virginia 
251807482

Today

What You'll Do:
  • Refine ambiguous questions and generate new hypotheses about the business through a deep understanding of the data, our customers, and our business.
  • Demystify, stabilize, standardize, and democratize nascent datasets.
  • Define how we measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Operations, Product, and other subject areas such as engineering.
  • Collaborate with data scientists, junior analysts, and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
  • Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives
  • Design experiments and interpret the results to draw detailed and impactful conclusions
  • Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story in both verbal and visual methods.
  • Ability to communicate effectively and handle relationships with partners coming from both technical and non-technical backgrounds
What You'll Need
  • Minimum 2 years of experience in a similar role
  • 3+ years of SQL experience (Hive, Spark, and other big data tools a plus)
  • Ability and experience in extracting insights from data and summarizing learnings / takeaways.
  • Understanding of experimental design (such as A/B experiments) and statistical methods.
  • Experience with dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
  • To be highly detailed-oriented.
  • Excellent judgment, critical-thinking, and decision-making skills.
  • Able to drive complex projects to successful completion
  • Able to identify stakeholders, build relationships, and influence others to get work done
  • Strong verbal and written communication, and presentation skills
  • Ability to tell a story with data by visualizing datasets and kpi's in business-relevant ways.
  • Strong ability to document research and analysis
  • Be a self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .