Uber | Hiring | Data Scientist I | BigDataKB.com | 44831

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Job Location: Bangalore/Bengaluru

What the Candidate Will Do

  • Develop statistical models/analysis and apply them to solve real-time problems;
  • Create practical data insights and solutions from Uber’s large datasets;
  • Employing a mastery of statistical analysis, including descriptive statistics, correlation, regression, and confidence intervals;
  • Designing metrics and developing SQL queries to generate reports; and
  • Own experimentation related to product development and partner with engineering, design, and product teams during the product development cycle

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 2+ 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 fields

Strong background in developing time-series predictive models using classical as well emerging machine learning methods.

  • 5+ years of industry experience in consumer-facing product analytics
  • Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
  • 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,veteran

Apply Here

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