Mission‑Focused Data Scientist, AI/ML & Analytics

KDA CONSULTING INC; Herndon (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading consulting firm is seeking a skilled Data Scientist with AI/ML expertise to support critical programs in the Intelligence Community. The role involves developing machine learning models, analyzing large datasets, and creating visualizations to inform decision-making. Ideal candidates will have a Bachelor's degree in a relevant field and experience with Python and ML frameworks. Active TS/SCI W/ Polygraph clearance is required. Join us to make impactful contributions in a collaborative and agile environment.

Qualifications

• Active TS/SCI W/ Polygraph Required.
• Strong experience in data science, machine learning, and statistical analysis.
• Experience analyzing and working with large-scale datasets.

Responsibilities

• Design, develop, and deploy machine learning models for mission problems.
• Analyze large datasets to identify trends and patterns.
• Develop dashboards and reports to communicate insights.

Skills

Statistical analysis

Machine learning model development

Data visualization

Problem-solving skills

Collaboration

Python proficiency

Education

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics or related field

Tools

Tableau

Power BI

TensorFlow

PyTorch

Scikit-learn

Job description

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.

The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.

Machine Learning & AI Development

• Design, develop, and deploy machine learning models to solve complex mission problems
• Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
• Evaluate model performance and continuously improve algorithms through testing and tuning
  
  

Data Analysis & Exploration

• Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
• Perform data cleansing, feature engineering, and transformation to prepare data for modeling
• Apply statistical techniques to validate hypotheses and support analytical findings
  
  

Data Visualization & Communication

• Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
• Communicate insights and recommendations clearly to both technical teams and senior leadership
• Translate complex analytical results into actionable business or mission outcomes
  
  

Model Deployment & Integration

• Collaborate with data engineers and software developers to operationalize models into production environments
• Integrate machine learning solutions into enterprise systems and workflows
• Support cloud-based model deployment in environments such as AWS or Azure
  
  

Collaboration & Agile Delivery

• Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
• Participate in Agile processes including sprint planning, stand-ups, and retrospectives
• Contribute to continuous improvement of data science methodologies and processes
  
  

Requirements

Active TS/SCI W/ Polygraph Required.

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)

Strong experience in data science, machine learning, and statistical analysis

Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience analyzing and working with large-scale datasets

Strong understanding of statistical modeling, probability, and data analysis techniques

Experience with data visualization tools and communicating insights effectively

Strong problem-solving skills and ability to work in complex, mission-driven environments