The opportunity
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
What you'll do
The Research, Analytics & Data Science (RAD) team at Fin use data and: insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value. If you get excited about asking the right questions, exploring patterns in data and turning insights into action, this role is for you..
Data Scientists in RAD partner with teams across R&D to help Fin make sense: of our users, our products and our business, using metrics, data and analysis. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
You’ll partner with product teams to help them identify important questions: and answer those questions with data
You’ll work closely with product managers, designers and engineers to develop: key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
You’ll design, build and update end-to-end data pipelines, working closely: with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
You’ll partner closely with product researchers to build a holistic: understanding of our customers, our products and our business.
What they're looking for
- You’ll influence our product roadmap and product strategy through exploratory: analysis and quantitative research
- Use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding and insight generation
- Identify opportunities to automate your own workflows and reduce time spent on repetitive tasks
- Build scalable data products (dashboards, models, internal tools) that enable: stakeholders to self-serve insights
