Data Scientist (Snowflake / Cortex AI)

Cloud Brite Systems India Private Limited • Indianapolis, IN

8d • Hybrid

About The Position

Brite Systems Inc. is a U.S.-based, AI-led digital transformation company. Since 2006, we have helped government and nonprofit organizations modernize their technology, improve operations, and deliver better outcomes for the communities they serve. Headquartered in Indianapolis, Brite brings together expertise across Salesforce, AWS, MuleSoft, AI, and our proprietary Enlite Accelerator to solve complex challenges and create meaningful impact. At Brite, you’ll be part of a collaborative, people-first team where innovation, continuous learning, and meaningful work come together. We’re proud to be recognized among Indiana’s fastest-growing companies, named to the Inc. 5000 list of America’s fastest-growing private companies, and recognized as a Great Place to Work in Indiana for seven years. Join Brite to build innovative technology, grow your career, and make a difference.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 6+ years of applied data science / machine learning experience, including production model deployment.
• Hands-on experience with Snowflake Cortex AI and/or Snowpark ML required.
• Strong Python and SQL skills.
• Understanding of federal AI governance and data security constraints (FedRAMP, FISMA) and experience operating within them.

Nice To Haves

• Experience productionizing ML solutions in a regulated or government environment preferred

Responsibilities

• Design and build Snowpark ML and Cortex AI workloads that support predictive analytics and intelligent automation use cases.
• Ensure all AI/ML workloads execute in-platform, preserving client's data residency and accreditation boundary requirements.
• Partner with the Database Architect and Data Engineers to ensure governed, high-quality data feeds AI/ML pipelines.
• Support use case execution and AI-readiness deliverables during the Build phase (Weeks 9–26) and expand capability during the Scale phase.
• Document model design, assumptions, and performance for client review and COR acceptance.
• Advise the Engagement Lead and IT Business Analyst on AI-enabled use cases during backlog prioritization.
• Experience with S3 External Stages and secure AWS-to-Snowflake data movement.
• Knowledge of AWS KMS encryption and high-volume Snowflake ingestion patterns.
• Understanding of MuleSoft data consumption and integration architectures.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior