Senior Staff Data Scientist
DailyPay - NYC Headquarters, New York, United States
Posted May 15, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Staff Data Scientist NYC Headquarters, New York, United States About Us: DailyPay is transforming the way people get paid. As a worktech company and the industry's leading on demand pay solution, DailyPay uses an award-winning technology platform to help America's top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace. DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center. The Role: DailyPay is seeking a Senior Staff Data Scientist to serve as the technical architect and strategic leader for our Personalization & AI Platform domains. This is one of the most technically senior and strategically influential roles in our data organization at the intersection of user experience, financial modeling, and AI infrastructure. You will architect the systems that make every DailyPay product interaction smarter - from how we optimize financial decisions for workers, to how we personalize communications, to how we protect members from fraud. Equally important, you will lay the data, infrastructure, and process foundations that enable your team and the broader data science function to operate with speed, rigor, and scale. This role requires someone who can move fluidly between writing production-grade model code, architecting scalable systems, partnering strategically with Product and Engineering leadership, and raising the technical bar of everyone around them. How
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