Senior Data Scientist

About the role

DailyPay is seeking a Senior Data Scientist to join our Data Science team. This is a high-impact individual contributor role for a data scientist who executes complex modeling work with excellence and is growing their strategic influence across product and business stakeholders.

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 along the way 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 by evaluating tradeoffs across modeling approaches and recommending the best tool for the problem.
• Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work, following team standards for maintainability and auditability.
• 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.
• With a proven track record of shipping production models that directly impact the end-user experience.
• Bachelor’s or advanced degree in a quantitative discipline (e.g., computer science, machine learning, statistics, data science).
• 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, with advanced SQL and Python skills and a working knowledge of the data infrastructure that supports model development at scale.
• Hands-on experience with end-to-end model deployment; data pipelines, model monitoring, drift detection, and A/B test execution, with a strong instinct for production reliability.
• Experience owning models in production environments where failures have real financial or compliance consequences.
• Strong proficiency across modern AI, classical ML, statistical, and probabilistic methods; experience translating well-defined business objectives into modeling approaches and evaluating them rigorously.

Qualifications

• 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

Skills

• 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

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

Pay

$136K - $209K

Schedule

N/A