1+ months

People Data Scientist - Uber

San Francisco, California
  • Jobs Rated
    7th

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 600 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 the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

About The Role

Our People Analytics function is looking for an experienced people data scientist to join our People Research team, a crucial function that helps guide the success of broader People team strategy. Team responsibilities include: owning, refining, and growing our central employee conversation channels and measurement toolkit; staying on the cutting edge of people research methodologies, academic perspectives, and predictive analytics; conducting long-term research studies to better understand the experience working at Uber and opportunities for intervention.

What You’ll Do

  • Help define and build the data science models that predict human behavior and optimize the work environment for employee success as Uber continues to expand globally
  • Research into the full-time employees of one the world’s fastest-growing and most global companies, acting as a thought leader in determining how we should model employee experiences, team interactions, and organizational engagement.
  • Use research methodologies to tackle abstract business problems with well-backed solutions, and bring tremendous enthusiasm to the challenge of better understanding human behavior.
  • Combine applied quantitative research with the messiness of employee data, behavioral theory, and human emotion

Requirements

What You’ll Need

  • Master or PhD degree in a quantitative discipline (ideally in social science): Psychology, Statistics, Applied Mathematics, Computer Science, Engineering, Behavioral Economics, Biostatistics, etc.
  • 2+ years experience deriving insights from large amounts of real, sparse heterogeneous data with a statistical programming language (e.g. Python, R), and/or SQL.
  • Experience in data mining, causal inference, experiment design, and/or machine learning techniques to solve real-world problems.
  • Able to translate business objectives into actionable analyses and communicate findings clearly to both technical and non-technical audiences.
  • Experience in people analytics or I/O psychology topics preferred.
  • Bias towards learning - always looking to find innovative solutions to problems that stretch your own abilities, but also willing to take the time to upskill those around you.

About The Team

Our People Analytics function is looking for an experienced people data scientist to join our People Research team, a crucial function that helps guide the success of broader People team strategy. Team responsibilities include: owning, refining, and growing our central employee conversation channels and measurement toolkit; staying on the cutting edge of people research methodologies, academic perspectives, and predictive analytics; conducting long-term research studies to better understand the experience working at Uber and opportunities for intervention. We are looking for researchers/data scientists who demonstrate past experience translating business objectives into specific data science initiatives and research projects with measurable and impactful outcomes. In general, the ideal candidate is excited at the prospect of combining applied quantitative research with the messiness of employee data, behavioral theory, and human emotion. Ultimately, you care most about using data to develop the long-term strategies required to ensure Uber remains a great place to work!

Categories

Jobs Rated Reports for Data Scientist

Posted: 2019-09-27 Expires: 2019-11-26

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People Data Scientist - Uber

Uber
San Francisco, California

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220
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