Data Scientist (AI, ML)

About The Company

SAIC (Science Applications International Corporation) is a leading Fortune 500 mission-focused technology integrator dedicated to delivering innovative solutions that serve and protect our nation. With a strong emphasis on advancing the power of technology and innovation, SAIC specializes in providing secure, high-end solutions across defense, space, civilian, and intelligence markets. The company’s portfolio includes mission-critical IT services, enterprise solutions, engineering, and professional services, all designed to modernize and enhance national security and operational capabilities. Headquartered in Reston, Virginia, SAIC employs approximately 24,000 professionals who are driven by a shared mission, united by purpose, and inspired by opportunities to make a meaningful impact. Committed to diversity and inclusion, SAIC is an Equal Opportunity Employer dedicated to fostering a diverse workforce and inclusive environment.

About The Role

We are seeking a highly skilled Data Scientist to join the IRS’s Analytics Application Platform (AAP), a central Platform-as-a-Service (PaaS) designed for secure and scalable AI/ML development across federal programs. In this role, you will be responsible for designing and developing advanced AI/ML solutions, serving as a technical enabler for onboarding customer teams onto the platform, and supporting early use case development. You will play a pivotal role in demonstrating platform capabilities, guiding clients through onboarding processes, and ensuring successful adoption of AI/ML workflows. This position offers the opportunity to work remotely within the United States and collaborate with cross-functional teams to support innovative federal initiatives. Although the primary focus is on IRS use cases, the role has the potential to extend support to other federal, state, and commercial programs through SAIC’s Digital Innovation Factory (DIF). The ideal candidate will have a strong technical background in cloud-native ML tooling, model development, and customer-facing platform enablement, with a focus on security, compliance, and ethical AI practices.

Qualifications

• Master’s degree in Computer Science, Data Science, Engineering, or a related field; Bachelor’s degree with equivalent experience accepted.
• 7+ years of experience in data science roles within cloud environments, preferably AWS.
• Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS native tools such as S3, Lambda, SageMaker, and Bedrock.
• Proficiency in programming languages including Python, SQL, R, and Spark.
• Experience working in regulated or government environments, understanding compliance standards.
• Strong knowledge of AI/ML lifecycle management, data privacy, and ethical model practices.
• Certifications in AWS or ML-related areas are desirable.
• Familiarity with government compliance and governance frameworks is preferred.
• Experience in customer-facing data science or platform enablement roles is a plus.

Responsibilities

• Deliver onboarding demonstrations and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and best practices for leveraging Databricks, JupyterHub, and AWS SageMaker/Bedrock.
• Guide customer teams through initial onboarding milestones, including access setup, cluster provisioning, pipeline utilization, model experimentation, and promotion workflows.
• Act as a technical point-of-contact during onboarding, translating platform services into tangible value for specific use cases.
• Develop secure, reproducible data science pipelines involving data wrangling, feature engineering, and model development using Databricks and AWS-native tools.
• Utilize MLflow for model versioning, experiment tracking, and lifecycle governance to ensure transparency and reproducibility.
• Integrate AI/ML workflows with CI/CD pipelines (Bitbucket, Bamboo) and infrastructure services such as S3, Lambda, and RDS.
• Maintain compliance with security standards and best practices, ensuring transparency, traceability, and data privacy.
• Implement Responsible AI Toolboxes and support ethical governance of ML and LLM models.
• Collaborate with cross-functional platform teams, including Infrastructure, Trustworthy AI, and Customer Support, to facilitate onboarding and operationalization of AI/ML workloads.
• Develop comprehensive documentation and guidance materials to enable repeatability and accelerate customer success.

Benefits

• Competitive salary within the range of $160,001 - $200,000, commensurate with experience.
• Remote work flexibility, allowing for a healthy work-life balance.
• Comprehensive health, dental, and vision insurance plans.
• Paid time off and holidays.
• Opportunities for professional development and certifications.
• Participation in innovative federal projects with impactful missions.

Equal Opportunity

SAIC is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.