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Lead Data Scientist

LendingPoint•United States•🌍 Remote
Full-timeSenior
👁️ 0 views•📝 0 applications•Posted 9/27/2026•Expires 11/26/2026
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Job Description

At LendingPoint , we believe that everyone deserves to feel the power of possibilities. As an online fintech company, we’ve created advanced consumer, small business, and merchant point-of-sale lending solutions to unlock access to affordable loans and empower those working to build their financial potential.

By creating technology that sees your potential, we’re driving a better lending and borrowing experience by finding more reasons to say “yes.

” More than just a job, LendingPoint is an exciting career choice where you’ll bring your expertise and experience to a talented team focused on fostering positive new customer experiences that inspire loyalty. Are we speaking about you? Then keep reading. What’s In It For You?

Competitive Base Salary Excellent Benefits Package That Includes: Medical/Dental/Vision, 401(k) match, Paid Holidays, and more!

Team Oriented Fast-Paced Fun Environment Dedicated and experienced Management Team On-going training and investment in our employees What You’ll Do Day to Day: We are looking for a Lead Data Scientist who shares our vision of building sophisticated risk models to advance financial inclusion and access to responsible credit.

In this role you will develop best-in-class credit risk, fraud, income verification, and marketing response models. The desired candidate will have a strong data science background, statistical expertise, machine learning knowledge, and a passion for solving problems in innovative ways to drive business results.

ESSENTIAL JOB FUNCTIONS: Build industry-leading credit, fraud, and pricing models to drive real-time lending decisions for hundreds of thousands of borrowers every month.

Leverage advanced machine learning techniques and complex data sources such as credit bureau information, and alternative data sources, at large scale to build sophisticated credit and fraud models. Collaborate with product and engineering teams to deploy models into production environment.

Evaluate new statistical and modeling

Required Skills

data sciencestatistical expertisemachine learningcredit risk modelingfraud modelingincome verification modelingmarketing response modelingadvanced machine learning techniquescredit bureau informationalternative data sources

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