Data Scientist, Chantilly

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

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

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