AI ML Data Scientist

Saic; Virginia (MN); Remote; USD 160,000 - 200,000; Full time

Job summary

SAIC is looking for a highly capable Data Scientist to join the IRS's Analytics Application Platform team. This role involves designing and developing AI/ML solutions, onboarding customer teams, and contributing to secure, scalable AI/ML development. The ideal candidate will have significant experience in cloud environments, particularly with AWS, and a strong foundation in data science tools, aiming to ensure customer success in federal projects.

Qualifications

• 7+ years in data science roles within cloud environments.
• Hands-on experience with Databricks, JupyterHub, and AWS tools.
• Experience in regulated or government environments.

Responsibilities

• Deliver onboarding demos and walkthroughs for customer teams.
• Guide customer teams through initial onboarding milestones.
• Build secure and reproducible data science pipelines.

Skills

Python

SQL

R

Spark

Education

Master’s or Bachelor's in Computer Science, Data Science, Engineering

Tools

Databricks

JupyterHub

MLflow

Bitbucket

AWS

Job description

Job ID: 2506489
Location: REMOTE WORK, VA, United States
Date Posted: Jun 11, 2025
Category: Information Technology
Subcategory: Platform Engr
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Remote
Benefits: Click here

We are seeking a highly capable Data Scientist to join the IRS’s Analytics Application Platform (AAP), where you'll not only design and develop AI/ML solutions but also serve as a technical enabler for onboarding customer teams onto the platform. As AAP is the central Platform-as-a-Service (PaaS) for secure and scalable AI/ML development across federal programs, you will play a hands-on role in ensuring customer success — demonstrating platform capabilities, guiding onboarding, and supporting early use case development.

This role is ideal for someone with strong technical foundations in model development and cloud-native ML tooling, combined with the ability to work closely with other data scientists to help them adopt and succeed on the platform. Although this position is currently focused on supporting IRS use cases, it is part of SAIC's Digital Innovation Factory (DIF) and may extend to support future initiatives across other federal, state, and commercial programs.

Key Responsibilities:

• Deliver onboarding demos and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and how to efficiently leverage Databricks, JupyterHub, and AWS SageMaker/Bedrock.
• Guide customer teams through their initial onboarding milestones including access setup, cluster provisioning, pipeline usage, model experimentation, and promotion workflows.
• Serve as a technical point-of-contact for customer users during their onboarding phase, helping translate platform services into value for their specific use cases.
• Build secure and reproducible data science pipelines, including data wrangling, feature engineering, and model development using Databricks and AWS-native tools.
• Leverage MLflow for model versioning, experiment tracking, and lifecycle governance.
• Integrate with CI/CD workflows (Bitbucket, Bamboo) and infrastructure services (S3, Lambda, RDS).
• Ensure transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards.
• Implement Responsible AI Toolboxes and support ethical governance of ML/LLM models.
• Collaborate with cross-functional platform teams (Infra, Trustworthy AI, CSx) to support onboarding and operationalization of AI/ML workloads.
• Provide documentation and guidance that enables repeatability and accelerates customer success on the platform.

Qualifications

Required Qualifications:

• Master’s (or Bachelor's with equivalent experience) in Computer Science, Data Science, Engineering, or related field.
• 7+ years in data science roles within cloud environments (preferably AWS).
• Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS tools (S3, Lambda, SageMaker, Bedrock).
• Strong Python, SQL, R, and Spark proficiency.
• Experience working in regulated or government environments.
• Strong understanding of AI/ML lifecycle management, data privacy, and ethical model practices.

Desired Skills:

• AWS or ML-related certifications.
• Familiarity with government compliance and governance frameworks.
• Experience in customer-facing data science or platform enablement roles.

Job Description

Description

We are seeking a highly capable Data Scientist to join the IRS’s Analytics Application Platform (AAP), where you'll not only design and develop AI/ML solutions but also serve as a technical enabler for onboarding customer teams onto the platform. As AAP is the central Platform-as-a-Service (PaaS) for secure and scalable AI/ML development across federal programs, you will play a hands-on role in ensuring customer success — demonstrating platform capabilities, guiding onboarding, and supporting early use case development.

This role is ideal for someone with strong technical foundations in model development and cloud-native ML tooling, combined with the ability to work closely with other data scientists to help them adopt and succeed on the platform. Although this position is currently focused on supporting IRS use cases, it is part of SAIC's Digital Innovation Factory (DIF) and may extend to support future initiatives across other federal, state, and commercial programs.

Key Responsibilities:

• Deliver onboarding demos and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and how to efficiently leverage Databricks, JupyterHub, and AWS SageMaker/Bedrock.
• Guide customer teams through their initial onboarding milestones including access setup, cluster provisioning, pipeline usage, model experimentation, and promotion workflows.
• Serve as a technical point-of-contact for customer users during their onboarding phase, helping translate platform services into value for their specific use cases.
• Build secure and reproducible data science pipelines, including data wrangling, feature engineering, and model development using Databricks and AWS-native tools.
• Leverage MLflow for model versioning, experiment tracking, and lifecycle governance.
• Integrate with CI/CD workflows (Bitbucket, Bamboo) and infrastructure services (S3, Lambda, RDS).
• Ensure transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards.
• Implement Responsible AI Toolboxes and support ethical governance of ML/LLM models.
• Collaborate with cross-functional platform teams (Infra, Trustworthy AI, CSx) to support onboarding and operationalization of AI/ML workloads.
• Provide documentation and guidance that enables repeatability and accelerates customer success on the platform.

Qualifications

Required Qualifications:

• Master’s (or Bachelor's with equivalent experience) in Computer Science, Data Science, Engineering, or related field.
• 7+ years in data science roles within cloud environments (preferably AWS).
• Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS tools (S3, Lambda, SageMaker, Bedrock).
• Strong Python, SQL, R, and Spark proficiency.
• Experience working in regulated or government environments.
• Strong understanding of AI/ML lifecycle management, data privacy, and ethical model practices.

Desired Skills:

• AWS or ML-related certifications.
• Familiarity with government compliance and governance frameworks.
• Experience in customer-facing data science or platform enablement roles.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .

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