Senior Data Scientist
Skills
Computer ScienceAnalytical SkillsData ScienceModelingResearch Skills
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