Senior Data Scientist — ML & Data Analytics Expert

Mastercard; Helena (MT); On-site; USD 120,000 - 180,000; Full time

Job summary

Mastercard in Helena, MT is seeking a Senior Software Engineer with a data science focus to develop ML-enabled applications for merchants, issuers, and digital partners. You will design, implement, and optimize models and data pipelines within a cloud-based, secure ecosystem.

The role requires strong Java/Spring Boot expertise, experience with Angular UI, and a pro-active, collaborative mindset to drive robust software solutions across time zones.

Qualifications

• Bachelor's degree in information technology, computer science, or equivalent.
• 4+ years of hands-on software development experience.
• 2+ years in Software and Data Science fields.
• Familiar with DevOps and IT operations best practices.
• Experience with data analytics, ETL, data modelling, and pattern analysis.
• Willing to learn new tech stacks and support customer environments.
• Strong communication skills in English.

Responsibilities

• Provide support for applications software through programming, analysis, design, development, and delivery of software solutions.
• Research alternative technical solutions for changing business needs.
• Design, develop, and review scalable ML models and statistical solutions.
• Collaborate with AI/ML engineering to deploy, scale, and operationalize models.
• Mentor junior team members and ensure high quality deliverables.

Skills

Java 8+

Spring Boot

Data Science

AI/ML

DevOps

Communication

Education

Bachelor's degree in Information Technology or Computer Science

Tools

Angular

SQL/NoSQL

ETL Tools

Docker

Job description

Mastercard in Helena, MT is seeking a Senior Software Engineer with a data science focus to develop ML-enabled applications for merchants, issuers, and digital partners. You will design, implement, and optimize models and data pipelines within a cloud-based, secure ecosystem.

The role requires strong Java/Spring Boot expertise, experience with Angular UI, and a pro-active, collaborative mindset to drive robust software solutions across time zones.