Mid-Level Data Scientist

DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results. Learn more at www.dminc.com

DMI, LLC is seeking a Data Scientist - Mid-Level to join us. The Mid-Level Data Scientist builds, trains, and deploys machine learning models and AI-driven analytical tools in support of NTSB's enterprise data analytics program. This role works within NTSB's Azure AI environment, contributing to platforms including CAROL AI, Microsoft Fabric, and custom analytics solutions that support transportation safety investigations.

• →Develop, train, and deploy machine learning models using Python, R, and Azure Machine Learning (Azure ML)
• →Build and maintain AI-enabled search and recommendation tools using Azure AI services, including Azure Cognitive Search and Azure OpenAI
• →Apply software engineering lifecycle practices including source control (git), CI/CD pipelines, model retraining workflows, and Jenkins-based deployment
• →Write production-quality code in Python, R, C#, or Java, including GPU-accelerated workloads where applicable
• →Analyze structured and unstructured datasets to identify patterns, anomalies, and trends supporting safety investigations
• →Collaborate with data engineers to consume optimized data pipelines built on Microsoft Fabric and Apache Spark
• →Produce written documentation of model methodologies, assumptions, and metrics
• →Support evaluation and improvement of AI platform and other investigative analytics tools

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.

• Bachelor's degree (B.A. or B.S.) or Master's degree (M.A. or M.S.) in Data Science, Computer Science, Statistics, Mathematics, or a related field

• 3 to 10 years of experience in a data science or machine learning role
• Fluency in Python and R, plus at least one additional language such as Java or C#
• Hands-on experience with Azure AI services, including Azure ML and Azure Cognitive Search
• Proficiency in software engineering lifecycle tools: git, debugging, testing, CI/CD, and model retraining Preferred Qualifications
• Experience with Azure OpenAI, Azure Cognitive Services, or Azure AI Foundry
• Familiarity with Microsoft Fabric, Databricks, or Apache Spark
• Experience with GPU-accelerated computing frameworks

Background in federal government or safety-critical analytics environments Degree Substitution Eight additional years of relevant experience beyond the minimum may substitute for the required degree. Six additional years combined with a qualifying certification may also substitute.