Senior Data Scientist: AI-Driven FinTech Growth

Imprint; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation and equity

High‑quality healthcare coverage

Flexible paid time off

Top‑tier hardware/workstation

Parental leave and family benefits

Ongoing learning opportunities

Job summary

Imprint is seeking a data scientist to deliver analytics that guide product decisions and marketing strategies. You will build segmentation and predictive models ( churn, LTV, propensity ) and collaborate on experiments across product, marketing, and commercial teams.

You’ll apply statistical inference, causal analysis, and AI-powered workflows to improve performance, translate insights for leadership, and raise the bar for the data science function.

Qualifications

• 4 to 7+ years of data science, analytics, or related field in a fast‑growth environment.
• Degree in statistics, engineering, science, finance, or similar; graduate degree a plus.
• Strong Python and SQL skills; ability to ship models to production.
• Solid basis in statistical inference, experimentation design, and causal analysis.
• Experience with LLMs/AI tools as collaborators in analysis workflows.
• Ability to communicate complex findings to technical and non‑technical audiences.

Responsibilities

• Deliver analytical projects that influence product decisions and strategy.
• Build segmentation and predictive models (LTV, churn, propensity).
• Support A/B testing with Product, Marketing, and Commercial teams.
• Apply causal analysis to improve LTV/CAC and performance.
• Design AI-powered workflows to explore data and operationalize decisions.
• Translate data narratives for leadership and partner stakeholders.
• Contribute to team excellence through code reviews and knowledge sharing.

Skills

Python

SQL

Statistics

Communication

Education

Bachelor's degree in a relevant field

Tools

Snowflake

dbt

Sigma

AWS

Job description

Imprint is seeking a data scientist to deliver analytics that guide product decisions and marketing strategies. You will build segmentation and predictive models ( churn, LTV, propensity ) and collaborate on experiments across product, marketing, and commercial teams.

You’ll apply statistical inference, causal analysis, and AI-powered workflows to improve performance, translate insights for leadership, and raise the bar for the data science function.