Job Description

Join to apply for the Senior Data Scientist role at T-Rex Solutions, LLC

Join to apply for the Senior Data Scientist role at T-Rex Solutions, LLC

T-Rex Solutions is looking to select a Senior Data Scientist to support the US Department of the Treasury TCloud enterprise cloud development effort. 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.

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.

Requirements:

• Must be a US Citizen with the ability to obtain a Public Trust clearance
• Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience.
• Significant experience 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.

Desired:

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

T-Rex Overview

Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.

T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.

T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.

In compliance with pay transparency guidelines, the annual base salary range for this position is $145,000 - $175,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.

T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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Job Tags

Full time, Work experience placement, Local area, Immediate start, Remote work,

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