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Senior Data Scientist

Skills
Computer ScienceAnalytical SkillsData ScienceModelingResearch Skills
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong statistical and data science fundamentals
  • Comfort with precision recall and F-scores
  • Ability to build and defend metrics and evaluations
  • Curious research-driven approach to messy data
  • Experience in a smaller fast-moving company around 100 people
  • Comfort with loosely defined cross-functional work
  • Self-starter who can work with limited management
  • Cross-domain or cross-industry experience is a plus

Nice to have

  • Curious
  • Self-starter
  • Research-minded
  • Cross-functional

Day to day

  • Take raw inconsistent customer data and build classification and categorisation that enables understanding
  • Define and defend metrics to judge model and automation quality
  • Design evaluations and robust classifications that scale across customers rather than one-off fixes
  • Collaborate with a highly technical engineering team focused on ML and LLM infrastructure while you drive statistical and research thinking