Data Scientist (Snowflake / Cortex AI)

Brite Systems, Inc.; Washington (Washington County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Brite Systems is seeking a Data Scientist to implement in-platform AI/ML workloads within Snowflake, ensuring data never leaves the accredited boundary. You’ll collaborate with DBAs and data engineers to maintain governance and data quality for predictive analytics and automation.

The role emphasizes experience with Snowflake Cortex AI or Snowpark ML, Python and SQL, and working within FedRAMP/FISMA constraints in regulated environments. Remote/hybrid work options available in the US.

Qualifications

• 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.
• 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 data residency and accreditation boundary requirements.
• Partner with the Database Architect and Data Engineers to ensure governed, high-quality data feeds for AI/ML pipelines.
• Support use case execution and AI-readiness deliverables during Build phase (Weeks 9–26) and expand during 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.

Skills

Snowpark ML

Snowflake Cortex AI

Python

SQL

Federal AI governance

ML productionizing

Education

Bachelor's or Master's in Data Science/CS/Statistics

Tools

Snowflake

AWS KMS

S3

MuleSoft

Job description

Anywhere in US (DC, MD, VA is preferred), United States | Posted on 08/14/2026

• City Anywhere in US (DC, MD, VA is preferred)
• Country United States

About Us

Brite Systems is a Salesforce Summit Partner delivering cloud, AI, and digital transformation solutions for public sector, healthcare, nonprofit, and commercial organizations. We specialize in Salesforce implementations, enterprise modernization, AWS cloud-native solutions, and AI-driven platforms that help organizations improve operational efficiency and service delivery. With a strong focus on innovation, collaboration, and customer success, Brite Systems continues to support organizations across the U.S. in building scalable and impactful technology solutions.

Job Description

About Brite Systems

BriteSystems Inc. is a U.S.-based, AI-led digital transformation company. Since2006, we have helped government and nonprofit organizations modernize theirtechnology, improve operations, and deliver better outcomes for the communitiesthey serve.

Headquarteredin Indianapolis, Brite brings together expertise across Salesforce, AWS,MuleSoft, AI, and our proprietary Enlite Accelerator to solve complexchallenges and create meaningful impact.

AtBrite, you’ll be part of a collaborative, people-first team where innovation,continuous learning, and meaningful work come together. We’re proud to berecognized among Indiana’s fastest-growing companies, named to the Inc. 5000list of America’s fastest-growing private companies, and recognized as a GreatPlace to Work in Indiana for seven years.

JoinBrite to build innovative technology, grow your career, and make a difference.

Job Description

The Data Scientist establishes client's AI and automation readiness capability, building Snowpark ML and Snowflake Cortex AI workloads that execute entirely inside the governed Snowflake environment, consistent with the SOW's requirement that AI and ML workloads never move data outside the accredited boundary.

Responsibilities

• Designand build Snowpark ML and Cortex AI workloads that support predictive analyticsand intelligent automation use cases.
• Ensureall AI/ML workloads execute in-platform, preserving client's data residency andaccreditation boundary requirements.
• Partnerwith the Database Architect and Data Engineers to ensure governed, high-qualitydata feeds AI/ML pipelines.
• Supportuse case execution and AI-readiness deliverables during the Build phase (Weeks9–26) and expand capability during the Scale phase.
• Documentmodel design, assumptions, and performance for client review and COR acceptance.
• Advisethe Engagement Lead and IT Business Analyst on AI-enabled use cases duringbacklog prioritization.
• Experiencewith S3 External Stages and secure AWS-to-Snowflake data movement.
• Knowledgeof AWS KMS encryption and high-volume Snowflake ingestion patterns.
• Understandingof MuleSoft data consumption and integration architectures.

Qualifications

• Bachelor'sor Master's degree in Data Science, Computer Science, Statistics, or a relatedfield.
• 6+years of applied data science / machine learning experience, includingproduction model deployment.
• Hands-onexperience with Snowflake Cortex AI and/or Snowpark ML required.
• StrongPython and SQL skills.
• Understandingof federal AI governance and data security constraints (FedRAMP, FISMA) andexperience operating within them.
• Experienceproductionizing ML solutions in a regulated or government environment preferred

WorkType

Remote / Hybrid (mostlywork remote with occasional in-person meetings)

BriteSystems is an Equal Employment Opportunity and Affimative Action Employer. Qualified applicants will receive consideration for employment without regardto race, color, religion, sex, sexual orientation, gender perception oridentity, national origin, age, marital status, protected veteran status, ordisability status.