What's the opportunity?

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.

What will I be doing?

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.
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
Help teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces)
Raise the bar for how AI is used within RAD- sharing patterns, workflows and best practices
Craft clear, compelling data stories and communicate recommendations across R&D and the broader company
Contribute to and shape core RAD foundations, improving how the team operates

5 + years experience working with data to solve problems and drive evidence-based decisions
Strong SQL skills and solid grounding in statistics
Experience working closely with product teams
Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
Strong product intuition, business acumen and ability to connect analysis to strategy
Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
Strong ownership, curiosity and growth mindset
Experience with a scientific computing language (e.g. Python)

Ability to effectively use AI tools (e.g. Claude Code, Cursor) to accelerate and improve your work
A mindset of automation and leverage - looking for ways to scale your impact beyond one-off analyses
Comfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changing

Experience with data modeling and ETL pipelines (esp dbt)
Experience building internal tools, data products or self-serve analytics capabilities
Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication