Imprint
FinTech
StaffDataScientist
“Staff Data Scientist at Imprint. Skills: Statistical methods, Experimentation design, Predictive modeling, AI-powered systems. Apply statistical inference. Champion A testing”
What You'll Achieve.
Improve customer lifetime value; Accelerate feedback loops; Drive measurable business outcomes; Shape how Imprint grows; Shipped a new model to production; Delivered a meaningful analysis; Aligned on priorities; Improve LTV/CAC; Drive targeting; Drive personalization; Drive lifecycle optimization; Automate the data science lifecycle; Automate business insights; Automate business decisions; Drive impact
Industry & Context.
Solve hard problems; Full-stack problem-solving orientation; Dive into messy data; Question everything in pursuit of a solution
What They're Looking For.
Must Have
7-12+ years of experience in data science, analytics, or a related field, Graduate degree in a relevant field (statistics, engineering, science, finance, etc), Python and SQL skills, Ability to transform raw data and build custom datasets, Highly analytical mindset, Bias toward action, Relentless focus on getting the numbers right, Ability to clearly communicate complex findings to technical and non-technical audiences, Comfort owning projects end-to-end, Collaborating cross-functionally to drive impact, Full-stack problem-solving orientation, Eager to dive into messy data, Test and validate assumptions, Question everything in pursuit of a solution
Nice to Have
Experience building or scaling experimentation infrastructure, Experience building or improving ML infra, Familiarity with dashboarding tools such as Sigma or Looker, Experience in credit, lending, or card products, Exposure to lifecycle marketing or prescreen modeling, Background in time series analysis, forecasting, optimization, or simulation
What You'll Do.
Apply statistical inference
Build segmentation frameworks
Design and build agentic workflows
Use LLMs and AI tools
Build AI-driven systems
Translate data into clear narratives
Support automation projects
Own projects end-to-end
Contribute to team excellence
How You'll Work.
Team & Collaboration
Collaborating with product, marketing, and commercial teams; Partnering with cross-functional teams; Collaborating cross-functionally to drive impact; Active participation in code reviews; Technical discussions; Knowledge sharing
Communication Scope
Clearly communicate complex findings; Translate complex data into clear narratives
Process & Methodology
Own projects end-to-end
Applying for this Staff Data Scientist role?
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