Senior AI/ML Scientist — Fintech Personalization & Production

DailyPay

Kentucky

On-site

USD 140,000 - 210,000

Full time

48 hours ago
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Benefits offered by this job

Equity ownership
Healthcare coverage
Life Insurance
Disability coverage
401K with match
Unlimited PTO

Job summary

DailyPay is seeking a Senior AI & ML Scientist to join our Data Science team. You will build and maintain models that personalize the DailyPay product experience—optimizing decisions for workers, personalizing communications, and supporting fraud controls.

This role emphasizes rigorous, hands-on work with the opportunity to translate technical results into measurable business impact and collaborate across product and engineering to drive outcomes.

Qualifications

  • 5+ years of ML experience in fintech or regulated domains.
  • Track record shipping production models with measurable business impact.
  • Experience building and maintaining reliable feature engineering pipelines with SQL and Python.
  • End-to-end model deployment experience including monitoring, drift detection, and A/B testing.

Responsibilities

  • Build, evaluate, deploy, and monitor ML models for personalization and fraud controls.
  • Develop reliable data pipelines and features for model development.
  • Translate business questions into DS solutions with product and engineering partners.
  • Communicate model results and tradeoffs clearly to cross-functional teams.
  • Stay current on AI/ML developments and advise on method selection.

Skills

Machine Learning
Production ML
SQL & Python
Model deployment
Data pipelines
Cross-functional collaboration

Education

Bachelor's degree or higher in CS/Math/Stats

Tools

SQL
Python

Job description

DailyPay is seeking a Senior AI & ML Scientist to join our Data Science team. You will build and maintain models that personalize the DailyPay product experience—optimizing decisions for workers, personalizing communications, and supporting fraud controls.

This role emphasizes rigorous, hands-on work with the opportunity to translate technical results into measurable business impact and collaborate across product and engineering to drive outcomes.

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