Principal Data Scientist

Overview

REI Systems’ mission is to deliver reliable, innovative technology solutions that advance Federal clients' missions and exceed their expectations. Our technologists and consultants are passionate about solving complex challenges that impact millions of lives. We take a Mindful Modernization® approach in delivering our services, including application modernization, grants management, case management systems, government data analytics, and advisory services. This approach, the REI Way, ensures mission impact by aligning our clients' strategic objectives with measurable outcomes through people, processes, and technology.

We offer the same commitment to our employees by providing professional development, meaningful projects, and flexibility to spend time with family and friends. We believe employees are at their best when fulfilled in both their professional careers and their personal lives. Learn more at

Employees voted REI Systems a Washington Post Top Workplace in 2015, 2016, 2018, 2020, 2021, 2022, 2023 and 2024!

Have you ever wondered how the food you eat is deemed to be safe, or how pharmaceutical companies are inspected to ensure the drugs they produce meet FDA regulations? If so, we have a very large new program with the Food and Drug Administration (FDA) and would love to have you join us!

Project Overview:

We are modernizing FDA cloud infrastructure with a focus on procurement, migration, and optimization using AWS. This project aims to improve cloud operations, enhance security, and automate processes for mission-critical applications.

REI is looking for a
Principal Data Scientist to design and implement data-driven, industry-focused solutions leveraging cutting-edge analytics, machine learning, and cloud technologies. As a Data Scientist, you will be a key leader in shaping consulting strategies and delivering impactful solutions for our clients. REI’s growth trajectory ensures that Data Scientists will immediately influence customer outcomes and contribute to team development by working closely with clients and REI core members.

Not only do REI Data Scientists gain expertise in building and deploying data-driven applications, but they also develop deep domain knowledge in various client industries.

Position Overview:

The Principal Data Scientist will collaborate directly with project stakeholders throughout the entire project lifecycle to define, design, and implement data-driven solutions. This role involves developing and implementing advanced analytics models, machine learning algorithms, and data visualizations to provide actionable insights for clients. You will independently interface with client technical teams and business owners as needed during the design and implementation phases.

Additionally, the Data Scientist will supervise, mentor, and develop junior team members on data science methodologies and best practices. Other similar professional duties may be assigned as needed.

• Prepare data science business cases while working with domain experts and customers. Support defining the AI strategy within a federal government agency.
• Develop customized algorithms to solve analytical problems with incomplete data sets.
• Build, train, validate, and test Machine Learning (ML) and Deep Learning (DL) models for various forms of data (structured and unstructured) and at different scales.
• Perform data mining, pattern recognition, statistical and predictive modeling.
• Design and implement solutions to automate manual processes at scale.
• Conduct design of experiments and carry out statistical analysis
• Develop solutions for Natural Language Processing (NLP) and Computer Vision use cases
• Operationalize ML models using CI/CD best practices in the cloud environment.
• Analyze time series data and create forecasting models.
• Document, visualize, present analytic results to decision makers.
• Provide informational briefings to explain methodologies and analytical findings to peers and customer stakeholders.
• Investigate and implement new scientific methodologies to support analytic and big data requirements
• Find and recommend new uses for existing data sources; design, modify, and build new…