Director of Data Science

Brigit; United States; On-site; USD 225,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Flexible PTO

401k plan

Wellbeing benefits

Wifi stipend

Learning & Development reimbursement

Job summary

Brigit is seeking a Director of Data Science to lead a growing team focused on modeling critical business problems in credit risk and payments. You will mentor data scientists, drive AI-assisted development, and partner with product, engineering, and operations to plan and execute a data-driven roadmap.

The role emphasizes building a high-impact culture, delivering measurable business outcomes, and shaping the modeling infrastructure.

Qualifications

• 2+ years of Data Science management with a team of >3
• 5+ years of modeling/data science experience overall
• 2+ years of experience at a consumer product company
• Deep technical expertise in SQL and Python, with experience in analytics and ML tools (dbt, Airflow, Spark, MLflow)
• Experience applying predictive modeling to credit risk, churn prediction, loss and revenue forecasting is beneficial
• Master’s or PhD in a quantitative field strongly preferred
• Strong communication skills with the ability to distill complex analysis into actionable insights
• Passion for developing talent and building a data-driven culture rooted in accountability and business outcomes
• Hands-on familiarity with AI-assisted coding tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex or similar

Responsibilities

• Managing and growing a team of data scientists focused on modeling key business problems
• Mentoring team to build quantitative models in Python
• Evangelizing the data science team’s capabilities and integrating with product, engineering and operations
• Running quarterly planning with business stakeholders to guide the team's direction
• Leading adoption of AI-assisted development and agentic workflows with proper review, privacy, and quality standards
• Collaborating with Modeling Engineer to optimize infrastructure for model R&D and deployment

Skills

SQL

Python

Data science leadership

Communication

Cross-functional

Modeling experience

ML tools

AI tooling

Education

Master’s or PhD in quantitative field

Tools

dbt

Airflow

Spark

MLflow

OpenAI Codex

GitHub Copilot

Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, 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 having meaningful input at the company you work for is important to you, come join our growing team!

Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others:

• Built In's 2026 Best Midsize Companies to Work For in New York City
• Built In's 2025 Best Places to Work For In New York City
• Built In’s 2024 & 2025 Best Startups to Work For In the U.S.
• Built In’s 2023 - 2025 Best Startups to Work For In New York City
• Fast Company’s Most Innovative Companies of 2022
• Business Insider’s Most Promising Consumer Startups 2022

Role Overview:

At Brigit, our Data Science team has been dramatically scaling its impact. We’re aiming to integrate new models across several product domains over the next year and continue to iterate and optimize in the areas of credit risk and payments, where we already have models deployed. We are 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. Doing this will require our team to grow, but it will also require a more concerted effort to plan and integrate with product teams, understand their roadmap, and explore projects that make sense in this context. To support this growth, we’d like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential.

What you’ll be doing:

• Managing and growing a team of data scientists focused on modeling key business problems.
• Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques.
• Evangelizing the data science team’s capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact.
• Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction.
• Helping lead the team’s adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards.
• Working closely with our Modeling Engineer to optimize and improve our 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 science experience overall
• 2+ years of experience at a consumer product company
• Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)
• Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial.
• A Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
• Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders
• A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes
• Hands‑on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact.

The anticipated annual base salary for this position is $225,000 - $250,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Benefits & Team

• Medical, dental, and vision insurance
• Flexible PTO Policy
• 401k plan
• Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
• Monthly reimbursements to use against wifi and cell phone bills
• Annual reimbursement for Learning & Development
• Help hard working Americans build a brighter financial future
• High-growth company
• A dynamic, flexible and collaborative start‑up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.

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