Senior Data Scientist - Growth
About this role
The Research, Analytics and Data Science team at Fin builds data-driven solutions to help businesses provide customer experiences through AI agents. Growth data scientists collaborate directly with product teams overseeing the self-serve signup flow, trial experience, onboarding, checkout flow, and Startup programs.
This practitioner will lead data initiatives that shape products and drive strategic decisions impacting thousands of companies signing up weekly. Ideal candidates possess a strong background in data science, a focus on impact, and readiness to partner with product and qualitative research groups.
What you will do
- Identify opportunities to enhance the in-product trial experience and conversion rates by analyzing user data, reviewing customer feedback, and studying competitor products.
- Design experiments and measure outcomes to understand the impact of alterations made to the signup flow, trial experience, and checkout flow.
- Review the performance of Startup programs to ensure they attract the right prospects and that incentives successfully drive feature adoption.
- Contribute to projects aimed at improving the tools and infrastructure that data scientists utilize for their daily work.
What you need
- Bring five or more years of professional experience working as a data scientist or analyst.
- Demonstrate excellent communication skills alongside a clear focus on driving business impact.
- Possess solid experience leveraging AI tools such as Cursor and Claude Code for data science tasks.
- Exhibit strong SQL skills for data exploration and analysis.
Nice to have
- Experience working on a B2B SaaS product
- Experience partnering with Qualitative Research teams
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
Fin operates under a hybrid working policy. Employees are expected to be in the office at least three days per week to stay connected and collaborate.
What does the growth data science team focus on?
Growth data scientists partner with product teams that manage the self-serve signup flow, trial experience, onboarding, checkout flow, and Startup programs. They use data to unlock actionable insights and shape products that deliver customer value.
What technical skills are required for the position?
Candidates need strong SQL skills and decent experience leveraging AI tools like Cursor and Claude Code for data science work. Five or more years of experience as a data scientist or analyst is also required.