Director of Data Science
Brigit · New York City (Hybrid)
About this role
## Director of Data Science Hi, we’re **Brigit** — a holistic financial health company helping everyday Americans build a brighter financial future. We create **transparent, fair, and simple** financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees, and build their credit quickly. If **autonomy, ownership, and meaningful input** are important to you, come join our growing team. ### Why Brigit? - Built In’s **2026 Best Midsize Companies to Work For** (NYC) - Built In’s **2025 Best Places to Work For** (NYC) - Built In’s **2024 & 2025 Best Startups to Work For** (U.S.) - Built In’s **2023–2025 Best Startups to Work For** (NYC) - Fast Company’s **Most Innovative Companies of 2022** (Personal Finance) - Business Insider’s **Most Promising Consumer Startups (2022)** - Forbes **Fintech 50 (2022)** ### Role Overview Brigit’s **Data Science** team is scaling its impact. Over the next year, we’re aiming to integrate new models across multiple product domains and continue iterating and optimizing in **credit risk** and **payments**, where we already have models deployed. We’re looking for a leader to enable continued adoption of **AI-assisted development** and **agentic workflows**—in how the team builds, evaluates, documents, and ships data science work. This will require both team growth and deeper planning/integration with product teams: understanding roadmaps and identifying projects that make sense in context. ### What you’ll be doing - **Manage and grow** a team of data scientists focused on modeling key business problems. - **Mentor and guide** team members as they build quantitative models in **Python** using industry-standard techniques. - **Evangelize** the team’s capabilities and partner with **product, engineering, and operations** to build a roadmap/backlog of data science solutions with business impact. - Run **quarterly planning** with business stakeholders to ensure the team is aligned. - Lead adoption of **AI-assisted development** and **agentic workflows**: identify use cases, set working norms, and ensure appropriate **review, validation, privacy, and quality**. - Partner with our **Modeling Engineer** to optimize and improve infrastructure for model research, development, and deployment. ### What you have - **2+ years** of Data Science management with a team of **>3** - **5+ years** of modeling/data… *(description appears truncated in the source)*
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