Senior Data Scientist (Fintech)

TL;DR

Senior Data Scientist (Fintech): Driving analytical projects for Mailchimp Customer Success initiatives, from problem framing to insights, supporting customer engagement, retention, and long-term success. Focus on designing and interpreting experiments, developing analytical models, and communicating findings to technical and non-technical audiences.

Location: Atlanta, Georgia; New York, New York

Company

hirify.global is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

• Own and execute end-to-end analytical projects that support Mailchimp Customer Success initiatives.
• Partner with Customer Success, Product, and Operations stakeholders to define success metrics and evaluate program effectiveness.
• Design, run, and interpret experiments to measure the impact of CS programs and interventions.
• Develop analytical models and customer insights that inform engagement, retention, and support effectiveness.
• Analyze large, complex datasets to uncover trends, risks, and opportunities across the customer lifecycle.
• Contribute to scalable measurement solutions and reusable analytical assets in partnership with Data Engineering.

Requirements

• 4–7 years of experience in data science, analytics, or product analytics.
• Strong foundation in statistics and experimentation, including experience designing and interpreting A/B tests.
• Proficiency in SQL and Python for data analysis and modeling.
• Experience working with large datasets and translating analysis into actionable business insights.
• Ability to operate independently while partnering effectively with cross-functional stakeholders.
• Strong communication skills, with the ability to explain analytical results clearly and concisely.

Nice to have

• Experience in SaaS, fintech, marketing technology, or SMB-focused products.
• Familiarity with Customer Success or go-to-market analytics.
• Experience with causal inference techniques beyond basic experimentation.
• Familiarity with BI and visualization tools.
• Experience building reusable analytical workflows and working with version control (git).

Culture & Benefits

• Workspaces and technology are always evolving to support collaboration, innovation, and spark creativity.