Data Scientist

Koah Labs

$120K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or related field
  • Strong mathematical and statistical modeling skills
  • Experience in conducting impactful research and formulating testable hypotheses
  • Ability to communicate effectively with technical and non-technical audiences
  • Relentless focus on learning and challenging the status quo

Responsibilities

  • Drive product decisions using data and causal reasoning
  • Design and implement experiments; analyze results
  • Encourage data-driven decisions across the engineering team
  • Transform marketplace data into tools for product insights
  • Shape business strategies based on rigorous statistical analysis

Benefits

  • Join a small, agile team with a strong startup culture
  • Opportunity to influence product direction from the ground floor
  • Work with a cutting-edge tech stack and a focus on craft
  • Collaborate with experienced professionals from top tech companies
  • Access to funding and support from leading investors
Full Job Description
In this role, you will
  • 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


You might be a fit if
  • You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
  • You enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
  • You have a relentless focus on continuous learning and making an impact with an ability to question the status quo
  • You have strong mathematical and statistical modeling skills
  • You enjoy communicating conclusions to both technical and non-technical audiences alike

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