Data Scientist

KDA CONSULTING INC; Chantilly (VA); On-site; USD 130,000 - 170,000; Full time

Job summary

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 focuses on leveraging analytics, ML, and AI to extract insights from large datasets and aid data-driven decision-making. The ideal candidate will have a strong foundation in statistical analysis, ML model development, and data visualization, with the ability to translate complex findings for technical and non-technical

Qualifications

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or related field (or equivalent).
• Strong experience in data science, machine learning, and statistical analysis.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience analyzing large-scale datasets.
• Strong understanding of statistical modeling and data analysis techniques.
• Experience with data visualization tools and communicating insights.

Responsibilities

• Design, develop, and deploy ML models to solve mission problems.
• Build predictive and prescriptive analytics for decision-making.
• Evaluate model performance and iterate to improve algorithms.
• Analyze large structured and unstructured data to identify trends.
• Develop dashboards and reports using Tableau/Power BI/Python visuals.
• Collaborate with data engineers to operationalize models in production.
• Support cloud-based model deployment in AWS or Azure.
• Work with cross-functional teams in agile sprints.

Skills

Data science

Machine learning

Statistical analysis

Python

TensorFlow

PyTorch

Scikit-learn

Data visualization

Tableau

Power BI

Education

Bachelor's degree in Data Science, CS, Math, Stats

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

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.