Bachelor's degree in computer science, MIS, engineering, mathematics, or related field.
3–6 years of experience in data science, applied AI, or software-driven analytics roles.
Strong Python development skills with experience building data pipelines, ML models, and API integrations; hands-on experience with Microsoft Power Automate or similar workflow automation tools.
Requirements:
Design, develop, and deploy AI/ML pilot solutions aligned to operational government use cases such as workflow automation, document processing, and decision-support analytics.
Develop Python-based solutions for data ingestion, processing, modeling, and deployment, including integration across systems using APIs.
Build automation workflows using Microsoft Power Automate or similar tools to support data movement and process improvement.
Translate business and operational requirements into technical designs, models, and working prototypes.
Job description
Data Scientist (AI) Fully Remote
We are seeking a Data Scientist to support Artificial Intelligence (AI) pilot initiatives across government programs. This role focuses on designing and delivering practical Machine Learning (ML) solutions that address operational challenges in secure environments.
The Data Scientist will work within an Agile delivery team to build working prototypes, integrate automation tools and Application Programming Interfaces (APIs), and translate business needs into deployable technical solutions. The role supports cross-functional efforts to expand responsible AI adoption across mission-focused federal programs.
JOB RESPONSIBILITIES:
Design, develop, and deploy AI/ML pilot solutions aligned to operational government use cases such as workflow automation, document processing, and decision-support analytics
Develop Python-based solutions for data ingestion, processing, modeling, and deployment, including integration across systems using APIs
Build automation workflows using Microsoft Power Automate and similar tools to support data movement and process improvement
Integrate APIs and data services to enable end-to-end analytical pipelines across legacy and modern platforms
Prepare and structure operational datasets, including cleaning, organizing, and transforming inconsistent data for analysis and modeling
Translate business and operational requirements into technical designs, models, and working prototypes
Collaborate with technical teams, program leadership, and stakeholders to ensure solutions align with mission needs
Support the transition of successful pilot efforts into scalable, production-ready implementations
Document technical approaches, data flows, and model behavior to support sustainment and knowledge transfer
JOB REQUIREMENTS:
Bachelor's degree in computer science, Management Information Systems, Engineering, Mathematics, or related field
3–6 years of experience in data science, applied Artificial Intelligence, or software-driven analytics roles
Strong Python development skills, including experience building data pipelines, Machine Learning models, and API integrations
Hands-on experience with Microsoft Power Automate or similar workflow automation tools
Experience building or deploying AI/ML solutions such as predictive models, Natural Language Processing (NLP) systems, or Large Language Model (LLM) applications
Experience working with REST APIs (Representational State Transfer Application Programming Interfaces) and integrating multiple data sources into working solutions
Ability to translate operational problems into structured analytical and technical implementations
Experience supporting government clients, healthcare environments, or regulated systems preferred
Strong written and verbal communication skills; able to explain technical concepts to non-technical stakeholders
U.S. Citizenship required
Ability to attend customer meetings in Rosslyn, Virginia as needed
PREFERRED QUALIFICATIONS:
Experience with Microsoft Azure, particularly Azure Artificial Intelligence and Machine Learning services
Familiarity with secure government cloud environments such as Amazon Web Services (AWS) GovCloud or Azure Government
Working knowledge of Machine Learning Operations (MLOps), model deployment, and lifecycle management practices
Experience working in Agile delivery environments focused on rapid prototyping and iterative implementation
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Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status").
