Uber 2022 Data Science Apprenticeship Program | Fully-funded for Master


Applications are open for the Uber Data Science Apprenticeship Programme (DSA) 2023. Uber DSA is a 6-month, paid, full-time training programme consisting of 3 months of classroom instruction followed by 3 months of on-the-job training and mentorship while working on impactful real-life Uber projects.

This programme is designed for individuals with an enthusiasm for analytics, but who haven’t had the opportunity to work on data science challenges in a world-class tech environment. In the first 3 months, participants will take classroom training on data science fundamentals designed and led by the University of Maryland Global Campus.

Participants will then spend the last 3 months with Uber’s inspiring Data Science leaders to work on capstone projects within our Mobility, Core Services, or Marketing organizations. After completing the 6 month DSA programme, apprentices will be fast-forwarded in the hiring process (skip the initial rounds) to be interviewed for a full-time placement with data science teams.

Training for this programme will take place in the Uber offices in San Francisco, CA. The DSA programme is a full-time paid apprenticeship that requires participants to be based in the San Francisco Bay Area. Start date of the programme is January 11, 2023.

University of Maryland Information

University of Maryland Grants

Uber 2022 Data Science Apprenticeship Program | Fully-funded for Master Founded in 1856, University of Maryland is a non-profit public higher education institution located in the suburban setting of the medium-sized town of College Park (population range of 10,000-49,999 inhabitants), Maryland. Officially accredited and/or recognized by the Middle States Commission on Higher Education, University of Maryland is a very large (uniRank enrollment range: 40,000-44,999 students) coeducational higher education institution. University of Maryland offers courses and programs leading to officially recognized higher education degrees such as bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 163 years old higher-education institution has a selective admission policy based on entrance examinations and students' past academic record and grades. The admission rate range is 40-50% making this US higher education organization a averagely selective institution. International students are welcome to apply for enrollment.

Eligibility Criteria

  • Applicant should have a Bachelor’s or Master’s degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field AND/OR 2+ years of professional experience in a data, analytics, engineering, or research field;
  • Foundational knowledge of SQL;
  • Basic understanding of statistics and A/B testing;
  • Curiosity to learn and adapt to new methodologies;
  • Excellent communication and organization skills;
  • Full-time availability from January 2023 – June 2023;
  • Availability to start full-time employment in June 2023 should you be extended a full-time offer upon completion of the apprenticeship
  • Authorization to work in the US;
  • Ability to work from Uber’s San Francisco HQ a minimum of 3 days per week.

Offered Benefits

In the Data Science Apprenticeship (DSA) Program you will:

  • Strengthen your fundamental knowledge of probability, statistics, and data preparation.
  • Sharpen your expertise with SQL, and learn basics of Python.
  • Gain expertise in data visualization and dashboarding.
  • Understand how to refine ambiguous questions and generate hypotheses.
  • Develop deeper understanding of how to design experiments and interpret the results.
  • Learn how to measure success through Key Performance Indicators and other user/business metrics.
  • Work side-by-side with Uber data scientists making product and business decisions based on data insights and experiment results.

Application Process

Go to Uber on www.uber.com to apply
Apply Here
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