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Kinetic

Senior Data Scientist

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Description

You will define and implement the data strategy, design and build reliable data infrastructure and pipelines, manage the analytics product roadmap, own analytics projects end-to-end, translate stakeholder needs into analytical solutions, conduct user-focused analysis, and hire and mentor data practitioners.

Responsibilities

  • Develop data strategy
  • Design and build data infrastructure and pipelines
  • Manage analytics product roadmap
  • Own end-to-end analytics projects
  • Translate stakeholder needs into analytical solutions
  • Conduct user-focused analysis to inform product decisions
  • Hire and mentor data practitioners

Requirements

  • 2-3 years of demonstrated data science leadership experience
  • Expertise in project management and data science analytics
  • Self-starter with a founder mentality and strong ownership
  • Empathy and experience learning from users to discover needs
  • Effective communication and cross-organizational interfacing skills
  • Bonus: experience on trading projects
  • Bonus: familiarity with the crypto space

Benefits

  • Generous equity
  • Flexible location and hours
  • Best-in-class health, dental and vision insurance
  • Unlimited PTO
  • $100 monthly gym stipend

Skills

What Senior Data Science jobs ask for — and how much of it you have →
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See also

Data Science jobs by country — openings, pay and top skills →