Data Scientist

KDA Consulting Inc; Chantilly (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

KDA Consulting Inc is looking for a highly skilled Data Scientist with AI/ML expertise in Chantilly, Virginia. This role focuses on leveraging advanced analytics and machine learning techniques to extract insights from complex datasets, driving data-informed decision-making.

The ideal candidate should possess a strong foundation in statistical analysis, machine learning, and data visualization, exhibiting proficiency in tools such as Tableau and Python. Qualifications include a Bachelor's degree in a relevant field and an active TS/SCI W/ Polygraph.

Qualifications

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

Responsibilities

• Design, develop, and deploy machine learning models.
• Analyze large, structured and unstructured datasets.
• Develop dashboards and visualizations using relevant tools.

Skills

Machine learning model development

Statistical analysis

Data visualization

Python proficiency

Cloud computing (AWS/Azure)

Education

Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics

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