Sr. Director, Data Science

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Director, Data Science in United States.

This role leads the development and application of advanced machine learning models across personal loan and credit card businesses, directly influencing credit strategy, risk management, and customer acquisition. The Sr. Director of Data Science manages a high-performing team, partnering with cross-functional stakeholders to design, implement, validate, and scale data-driven solutions. The role requires translating complex modeling into actionable business insights, evaluating third-party solutions, and driving measurable results. Operating in a fast-paced, innovative fintech environment, the position offers the opportunity to shape strategy, mentor talent, and apply cutting-edge AI and ML technologies. The role emphasizes collaboration, agility, and delivering tangible impact on business growth and customer experience. Remote work across the U.S. is supported, allowing flexibility while leading enterprise-scale initiatives.

Accountabilities:

Lead and mentor a team of data scientists and analysts to design and develop machine learning models for credit acquisition, line assignment, pricing, credit line management, and fraud detection
Manage the full modeling lifecycle, including model design, development, validation, performance tracking, and deployment
Collaborate with credit strategy teams, product owners, and third-party solution providers to deliver scalable, high-ROI AI solutions
Translate complex modeling outputs into actionable business insights and communicate effectively with cross-functional stakeholders
Drive innovation and challenge the status quo by introducing new modeling approaches, techniques, and technologies
Ensure regulatory compliance, data security, and best practices across all data science initiatives
Oversee prioritization of projects, balancing time-to-market expectations with organizational cost and impact

Requirements:

12+ years of experience in credit card modeling or consumer lending analytics
7+ years of leadership experience managing high-performing teams
M.S. or Ph.D. in statistics, computer science, engineering, economics, or a related technical field
Strong expertise in machine learning, AI, data analysis, and applying these skills to business problems
Hands-on experience with Python, Spark, SQL, Tableau, and cloud-based environments (Google Cloud preferred)
Proven ability to formulate business problems and guide teams to deliver results in agile, fast-paced environments
Excellent organizational, problem-solving, and communication skills, with the ability to explain complex concepts in plain language
Familiarity with regulatory requirements in consumer lending is highly desirable

Benefits:

Competitive salary range: $240,000 - $330,000 annually, plus bonus and generous benefits
Flexible remote work within the U.S.
Comprehensive health, dental, and vision coverage
Paid parental leave and wellness benefits including mental health resources and virtual fitness programs
Professional development opportunities, including access to learning platforms such as Udemy
Additional perks including childcare assistance, pet insurance discounts, legal assistance, and other employee discounts

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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