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Tier-1 brand, mid-level popular data-science title, metro location, and broad full-stack ML+software requirements.
Core ML skills transfer across industries, though combined software and payments context reduces portability slightly.
Explicit 4+ years plus mandatory ML and software stack skills (Java, Spring Boot, Angular) increase filter strictness.
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Design, develop, optimize, and operationalize scalable machine learning models addressing complex business challenges in data science.
Support applications software programming, analysis, and delivery; collaborate with cross-functional teams including AI/ML Engineering.
Provide technical guidance and mentorship to junior team members; translate data insights into strategic recommendations for senior leadership.
Bachelor's degree in Information Technology, Computer Science, or equivalent experience.
4+ years of hands-on software development experience with at least 2+ years in software and data science领域.
Strong knowledge of Java 8+, Spring Boot, databases (Relational & NoSQL), and preferred UI development experience with Angular.
Familiarity with DevOps, IT operations best practices, application & system security, and capability to work across multiple time zones (US, Canada, Dublin, India).
Experienced individual contributor familiar with end-to-end machine learning model lifecycle and operationalization in a global, cross-disciplinary team.
Possesses strong software engineering foundation, able to produce high quality project deliverables and documentation.
Capable of effectively communicating complex data insights and mentoring junior staff within an enterprise security-sensitive environment.