Jobs · Engineering

Data Scientist

Koah · United States · 7 mo ago
RemoteRemoteEngineering$180k–$250k/yrFull-time

About the role

Sit within product engineering and help drive product decisions using data and causal reasoning.
Design, implement, execute experiments and analyze results.
Help level-up all of engineering, encouraging data driven decisions and a deep understanding of the important metrics that drive our business forward.
Use rigorous statistical thinking and hands-on modeling to turn our rich marketplace data into tools that directly shape product decisions and key insights.

Responsibilities

  • Identify and own challenging problems, form testable hypotheses, and conduct impactful research to drive significant business impact.
  • Enjoy continuous learning and making an impact with an ability to question the status quo.
  • Show strong mathematical and statistical modeling skills.
  • Communicate conclusions to both technical and non-technical audiences alike.

Requirements

  • An advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • A relentless focus on continuous learning and making an impact with an ability to question the status quo.
  • Strong mathematical and statistical modeling skills.

Qualifications

  • Enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact.
  • Show strong mathematical and statistical modeling skills.
  • Communicate conclusions to both technical and non-technical audiences alike.

Skills

  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Relentless focus on continuous learning and making an impact with an ability to question the status quo.
  • Strong mathematical and statistical modeling skills.
  • Ability to communicate conclusions to both technical and non-technical audiences alike.

Benefits

  • Compensation Range: $180K - $250K

Pay

  • $180K - $250K

Schedule

  • Not specified

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