or apply directly on Fin's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Fin's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- No 28% of Fin's roles list one
- Ghost-job risk at Fin
- high 130 stale, 0 reposted of 130 open
- Hiring momentum
- 162 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Fin's own greenhouse board since 2026-08-03. Full hiring picture for Fin.
About this role
As a Senior Data Scientist at Fin, you will work within the Research, Analytics & Data Science (RAD) team to leverage data and insights for evidence-based decision-making. Your role involves partnering with product teams to identify key questions, developing product success metrics, designing data pipelines, and influencing product strategy through analysis. You will also utilize AI tools to enhance your work and automate workflows, while crafting data stories to communicate insights across the organization.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fin as an employer.
What you need
- 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
Nice to have
- 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
Worth weighing
- No specific salary or compensation details provided
- Hybrid working policy requires being in the office at least three days per week
- The role involves working in a fast-evolving environment which may require adaptability to changing tools and workflows
Summarised from Fin's posting. Read the full original.
Listed by Fin on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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