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[Remote] Head of Machine Learning

Remote · United Kingdom Full-time

Note: The job is a remote job and is open to candidates in USA. Open Select is a Series B fintech building fraud detection models for financial institutions. They are seeking a Head of Machine Learning to lead a data science team, oversee the model lifecycle, and drive product innovation through research and hands-on mentoring.

Responsibilities

  • Grow a team of 2 to 3 data scientists into a team of 5 to 6, and raise the bar with every hire
  • Mentor with depth by getting hands-on with your team's work, not from arm's length
  • Lead planning and set priorities across product, engineering, and leadership
  • Own the full model lifecycle, from data acquisition through production monitoring
  • Research emerging fraud patterns and turn what you find into new product directions
  • Write production-ready code that powers real-time partner decisions
  • Design and present analyses that inform product, risk, marketing, and sales

Skills

  • Built and deployed models that were core to a company's business
  • Led a data science or applied ML team for at least 4 years
  • People who worked for you would join you again
  • Write production code yourself
  • Pass a rigorous technical assessment without needing to prepare for it
  • Come from fintech, cybersecurity, health tech, or insurance
  • Think from first principles about ambiguous problems and drive them to deployment without being told how
  • Explain complex technical work clearly to senior non-technical stakeholders
  • Change their minds
  • Experience with identity verification
  • Experience with graph databases
  • Experience with feature stores

Benefits

  • Competitive equity
  • Remote-friendly

Company Overview

  • Open Select is a specialist engineering recruitment firm working with venture-backed startups across the US and UK. It was founded in 2011, and is headquartered in Borehamwood, Hertford, GBR, with a workforce of 2-10 employees. Its website is https://www.osrecruit.com.
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