Data Scientist 102266 with Security Clearance

Data Scientist 
Location: Alexandria, VA/Springfield, VA/Arlington, VA/Herndon, VA/Chantilly, VA 
Required Clearance: Secret/Top Secret/Top Secret/SCI  ManpowerGroup Public Sector (MGPS) provides Skilled Experts and Leading-Edge Solutions to Support Our Nation’s Most Critical Intelligence, Defense and Civilian Missions. MGPS specializes in solving our clients’ diverse linguistic, technical and data management challenges created by the dramatic rise in the volume, variety and complexity of open source data. We harness machine learning, artificial intelligence and the latest data acquisition and mining tools, paired with expert human skills to provide customized solutions for every customer. U.S.

Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.

Job Responsibilities

• Develop AI/ML models through training, fine-tuning, feature engineering, benchmarking, and deployment preparation.
• Apply scientific methodology to extract insights and create predictive capabilities from data.
• Analyze complex datasets to identify patterns and relationships, select and implement appropriate machine learning algorithms for specific problems, and develop feature engineering approaches to improve model performance.
• Design and execute model validation and testing procedures, tune hyperparameters to optimize model performance, and prepare models for production deployment.
• Create data visualizations to communicate findings and model results, collaborate with subject matter experts to incorporate domain knowledge, and document methodologies and results.
• Stay current with advances in data science techniques, evaluate new algorithms and approaches for potential adoption, and mentor junior data scientists.
• Ensure models meet requirements for accuracy, performance, and explainability, collaborate with AI/ML engineers for model deployment, and participate in data governance activities.
• Develop and implement data science workflows and methodologies, contribute to research initiatives, and support business stakeholders in interpreting model outputs.