We're looking for someone who's been a great data scientist, analytics engineer, or data engineer – the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up – and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.
What you'll do
- Accelerate the AI-native data workflow – the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt
- Build AI agents that do data science – not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations
What you need
- 6-8+ years in data science, analytics engineering, or a related role – you've been in the data trenches
- Strong product sense – you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build
XML job scraping automation by YubHub
