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About the Role

DailyPay is seeking a Senior Data Scientist to join our Data Science team. This is a high-impact individual contributor role focused on building and maintaining models and decision systems that personalize the DailyPay product experience, optimize financial decisions for workers, personalize communications and user experiences, and support fraud controls. The role requires excellent hands-on work and the ability to translate that work into clear business impact.

Responsibilities

Build, improve, and maintain ML models for personalizing the user experience including on-demand pay balance optimization, content personalization, and fraud controls.
Build reliable data pipelines and features for model development, following team infrastructure standards.
Identify gaps in data infrastructure and advocate for solutions with engineering partners.
Develop, evaluate, deploy, monitor, and improve both batch and real time models following established production standards.
Stay current on AI/ML developments and apply sound judgment in algorithm selection and technique adoption.
Evaluate tradeoffs across modeling approaches and recommend the best tool for the problem.
Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work.
Follow and contribute to data quality standards and validation practices.
Flag issues proactively and help improve team patterns.
Partner with product and engineering on scoped problem areas, translating defined business questions into well-structured DS solutions.
Bring senior DS leadership in early on ambiguous or high-stakes problem framing.
Communicate model results and tradeoffs clearly to product and cross-functional partners, connecting technical outputs to business outcomes.

Requirements

5+ years of Data Science & Machine Learning experience within fintech, payments, or a similarly regulated consumer domain.
Proven track record of shipping production models that directly impact the end-user experience.
Track record of independently building models that drive measurable business outcomes.
Experience seeing your own work through to production, including partnering with stakeholder teams to define success metrics and connect model performance to business value.
Experience building and maintaining reliable feature engineering pipelines.
Hands on experience with end-to-end model deployment; data pipelines, model monitoring, drift detection, and A/B test execution.
Experience owning models in production environments where failures have real financial or compliance consequences.

Skills

Advanced SQL
Python
Modern AI
Classical ML
Statistical methods
Probabilistic methods

Location

New York City

Work Type

Full-time

Experience Level

Senior

Education Level

Bachelor’s or advanced degree in a quantitative discipline (e.g., computer science, machine learning, statistics, data science)

Benefits

Exceptional health, vision, and dental care
Opportunity for equity ownership
Life and AD&D, short- and long-term disability
Employee Assistance Program
Employee Resource Groups
Fun company outings and events
Unlimited PTO
401K with company match

About the Company

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.

Equal Opportunity

DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.