Senior Data Scientist

Summary

Join T-Rex Solutions as a Senior Data Scientist to support the US Department of the Treasury TCloud enterprise cloud development effort. You will design and develop AI/ML solutions and serve as a technical enabler for onboarding customer teams onto the Analytics Application Platform (AAP). As the central Platform-as-a-Service (PaaS) for secure and scalable AI/ML development, you will ensure customer success by demonstrating platform capabilities, guiding onboarding, and supporting early use case development. This role requires strong technical foundations in model development and cloud-native ML tooling, along with the ability to collaborate with other data scientists. While currently focused on IRS use cases, this position may extend to other federal, state, and commercial programs. The ideal candidate will have experience in cloud environments, specifically AWS, and proficiency in various programming languages and tools.

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

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

Preferred Qualifications

• 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

Benefits

• 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
• A 401(k) plan with company match fully vested after 60 days of employment
• Competitive salaries
• Performance bonuses