Data Scientist (Snowflake / Cortex AI).

About Brite Systems

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.

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

•     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. 

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

Work
Type

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

Equal
Employment Opportunity

Brite
Systems is an Equal Employment Opportunity and Affirmative Action Employer.
Qualified applicants will receive consideration for employment without regard
to race, color, religion, sex, sexual orientation, gender perception or
identity, national origin, age, marital status, protected veteran status, or
disability status.

Recruitment
Fraud Alert! There has been an increase in fraud that targets job seekers.
Scammers may present themselves to job seekers as Brite Systems employees or
recruiters. Please be aware that Brite Systems does not request sensitive
personal data from applicants via text/instant message or any unsecured method;
does not promise any advance payment for work equipment set-up; and does not
use recruitment or job-sourcing agencies that charge candidates an advance fee
of any kind. We encourage you to review and apply to our available job openings
at Brite Systems website. For more information on avoiding and reporting scams,
please visit the Federal Trade Commissions job scams website.