Principal Data Scientist

Principal Data Scientist

📍 Locations : Scottsdale, AZ | San Francisco, CA | Chicago, IL | New York, NY

🏠 Hybrid work model – 3 days in the office

🚫 Visa sponsorship not available

About the Role

We’re working with a leading U.S. financial technology company trusted by major banks and institutions to power secure, real-time payment solutions and identity verification products used by millions of consumers every day.

This organization operates at the heart of the U.S. financial ecosystem – enabling instant, safe, and reliable transactions while preventing fraud and maintaining trust across the payments network.

They’re now looking for an exceptional Principal Data Scientist to join their growing Data Science organization. In this senior, highly technical role, you’ll lead the design, development, and deployment of advanced machine learning models that power identity and payment systems across a large‑scale, data‑rich environment.

You’ll be hands‑on 70–100% of the time – coding, building, and maintaining models in production – while also providing technical leadership, mentoring, and strategic input to help scale data science capabilities enterprise‑wide.

What You’ll Do

• Design, develop, and deploy analytically derived models to assess risk and detect / prevent fraud – across Identity and Payments (ACH) domains.
• Build end‑to‑end data pipelines and storage schemes for complex, high‑volume datasets using PySpark, Python, and SQL.
• Collaborate cross‑functionally with Product, Engineering, ML Platform, and Analytics teams to bring models into production and continuously improve them.
• Drive thought leadership both internally and externally – influencing analytic strategies, evaluating emerging technologies, and representing the company in industry discussions.
• Lead by example : mentor junior data scientists, guide analytic design, and ensure best practices for scalable model development and deployment.
• Support multiple projects concurrently , managing timelines, documentation, and technical delivery.

What You Bring

Deep familiarity with AWS SageMaker or similar ML platforms.

Preferred Qualifications

Why Join

If you’re a hands‑on data science leader ready to build, deploy, and scale models that impact millions of users daily – we’d love to hear from you.

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