Job Details

Data Scientist

San Francisco, CA | Full time

Job ID:

1311-01DS

Duration:

Long Term

Experience:

5-7 years

Career Level:

Senior Level

Compensation:

DOE

Industry:

Information Technology and Services

Job Description

Job Responsibilities

  • Help define and build the data science models that predict human behavior and optimize the work environment for employee success
  • 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

Qualification

  • 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.