Senior Data Scientist

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.

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

Increasingly, you will also:

• 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

What skills do I 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
• Strong ownership, curiosity and growth mindset
• Experience with a scientific computing language (e.g. Python)

And increasingly important:

• 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

Bonus skills & attributes 

• 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

#LI-Hybrid

At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements.

Learn more about working at Fin and the benefits we offer at .

Policies 

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our  core values .  

Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.