Senior Data Scientist

ReefPoint Group (RPG) is a mission-driven consulting firm focused on improving outcomes for Veterans, service members, and federal agencies through data, technology, and strategic consulting. We partner with our clients to solve complex operational challenges, modernize systems, and transform data into actionable insight.

At RPG, we value curiosity, collaboration, and innovation. Our teams work alongside clients to deliver practical solutions that drive mission impact.

Position Overview

We're looking for a Senior Data Scientist to help our clients modernize how they work with data and AI. You'll consult with teams to build data products and workflows that support critical operations, lead the migration of legacy workloads to the cloud, and deliver measurable improvements along the way. As a champion of AI adoption, you'll develop, train and deploy machine learning and LLM-powered solutions that solve complex business problems. This is as much a teaching role as a technical one: you'll also create reference use cases, tutorials, sample code and training materials, and host office hours that help clients get the most from modern cloud tooling.

What You'll Do

• Consult with internal clients and build data products/workflows to support critical operations
• Migrate and modernize clients’ workload from legacy environment to the cloud to realize quantifiable improvements
• Spearhead AI adoption with clients to drive business outcomes
• Create reference use cases with supporting tutorials, reference code, and training to drive the adoption of cloud tooling for concrete business results
• Host office hours to upskill clients
• Develop, train, and deploy machine learning to solve complex business problems

Qualifications :

• Bachelor’s degree in Engineering, Computer Science, Systems, Business or related scientific/technical discipline,+12 years experience
• Proficient in Python and advanced SQL for data analysis
• 2+ years’ experience performing work on leading cloud platforms such as Databricks, Azure, AWS, and GCP
• Experience in the end-end data science workflow, from identifying datasets to production, and associated tooling (NumPy, SciPy, MLFlow)
• Solid understanding of traditional machine learning toolboxes
• Working knowledge of large language models (LLMs) and agentic AI workflow

Bonus Qualifications

• 5+ years data scientist experience shipping multiple products in operation
• 2+ year experience in building visualized insights (dashboards and reports) supporting operational needs
• Prior experience using R / Stata / SAS
• Experience of refactoring of R / Stata / SAS codebase to Python
• Prior experience shipping products leveraging LLMs or AI agents