Data Scientist (Snowflake / Cortex AI)

Cloud Brite Systems India Private Limited

United States

Hybrid

USD 120,000 - 160,000

Full time

13 days ago

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Job summary

Cloud Brite Systems India Private Limited in the United States is seeking a Data Scientist to design and deploy Snowpark ML and Cortex AI workloads inside the governed Snowflake environment, delivering predictive analytics and intelligent automation while ensuring data residency.

You will collaborate with the Database Architect and Data Engineers, support AI readiness from build to scale, document model designs, and advise on AI-enabled use cases during backlog prioritization.

Qualifications

  • Bachelor's or Master's degree in Data Science, CS, 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.
  • Strong Python and SQL skills.
  • Understanding of federal AI governance and data security constraints (FedRAMP, FISMA).
  • 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 for 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

Skills

Python
SQL
Data Science
ML deployment

Education

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

Tools

Snowflake Cortex AI
Snowpark ML
AWS S3
MuleSoft

Job description

Cloud Brite Systems India Private Limited | Full time

Data Scientist (Snowflake / Cortex AI)

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 modernizetheirtechnology, 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 Scientistestablishes client's AI and automation readiness capability, building Snowpark MLand Snowflake Cortex AI workloads that execute entirely inside the governedSnowflake environment, consistent with the SOW's requirement that AI and MLworkloads 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 Qualified applicants will receive consideration for employment without regardto race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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