Data Scientist

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.