Data Scientist & AI Engineer, Mid

Build predictive analytics and LLM-powered solutions for client-facing, real-world use cases.

Responsibilities

• Partner with clients to understand questions and needs, then explore data-rich environments to identify relevant information
• Design algorithms and systems that convert disparate datasets into objective answers that support informed client decisions
• Apply analytical thinking to drive practical, measurable impact
• Combine the right tools and frameworks to transform complex data into decision-ready outputs

Requirements

• 3+ years leveraging statistical programming languages for predictive models, quantitative analysis, and data visualizations
• 2+ years in Artificial Intelligence, including Machine Learning, Agentic AI, Natural Language Processing, and applied Large Language Models
• Experience building interactive, user-facing data applications using front-end development with React or Python-based frameworks (for example, Streamlit)
• Experience with generative AI and agentic AI libraries/frameworks to build LLM-powered applications and autonomous agents
• Ability to write efficient, clean, and maintainable code using Git, testing, and code reviews
• Ability to query, process, and build data pipelines for large, complex datasets using big data technologies
• Ability to evaluate AI models using performance metrics, validation methods, and error analysis to assess accuracy, robustness, bias, fairness, and fitness for purpose
• Public Trust
• Bachelor’s degree in Computer Science, Machine Learning, Data Science, Engineering, or Mathematics

Technologies

• React
• Python
• Streamlit
• Git
• Large Language Models
• Natural Language Processing

Nice If You Have

• Experience with AWS or other cloud services
• Experience with program automation, CI and CD, DevSecOps, or Agile
• Experience with healthcare or medical device industry data
• Experience using Agile methodologies and best practices
• Experience with AI-assisted development tools such as Claude Code, Cursor, or OpenCode
• Ability to apply experimental design principles to define evaluation criteria, set baselines, choose comparison groups, and determine data/methods before development begins
• Master’s degree preferred; Doctorate degree a plus

Vetting

• Selected applicants will be subject to a government investigation
• Applicants may need to meet eligibility requirements of the U.S. government client
• Public Trust determination is required

Compensation

• Projected annualized range: $77,600 - $176,000

Work Model

• Onsite: Work will primarily be performed full-time at a customer facility, with collaboration required with colleagues and customers

Identity Statement

• Applicants are expected to be on camera during interviews and assessments
• The company may take your picture to verify identity and prevent fraud

Candidate AI Usage Policy

• Use of AI or other tools to assist with interview responses is prohibited unless permission is explicitly provided

Location

• Bethesda, MD (onsite)

Non-Discrimination

• All qualified applicants receive consideration without regard to disability, protected veteran status, or any other protected status under applicable law