Tech Stack
Responsibilities
- Architect and own end-to-end ML systems for personalizing the user experience, including on-demand pay balance optimization.
- Establish the data infrastructure foundation the data science team requires: feature stores, training pipelines, labeling systems, data contracts, and monitoring frameworks.
- Partner directly with product and engineering leads to identify high-value AI opportunities and translate ambiguous business problems into multi-quarter technical roadmaps.
- Serve as the primary technical leader for a growing data science team, setting technical direction, establishing standards, and mentoring data scientists.
- Define and enforce data quality standards, designing automated validation and alerting pipelines that protect downstream model and business health, and implementing CI/CD best practices for ML.
Benefits
- 401k
- Equity
- Health Insurance
- Unlimited PTO
Culture
Cross-Functional CollaborationMentorship ProgramInclusive HiringTransparent LeadershipWork-Life Balance
Requirements
Required: Advanced degree in a quantitative discipline (e.g., computer science, machine learning, data science, engineering)
Regions: Belfast, Us
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About dailypay
Industry: fintech
Size: medium
DailyPay is a worktech company and the industry’s leading on-demand pay solution, transforming how people get paid through an award-winning technology platform.
View company profile →Compensation
Equity: Opportunity for equity ownership