Data Scientist
KDA Consulting Inc
Job Overview
Location
McLean, Virginia, United States
Employment Type
Full-time
Work Arrangement
On-site
Sector
Information Technology & Software
Experience Level
Senior (5-8 years)
Application Deadline
April 20, 2026
About the Company
KDA Consulting Inc. is a distinguished Disabled Veteran, Woman-Owned, Certified Disadvantaged Small Business dedicated to tackling challenging National Defense and Intelligence missions. They specialize in innovative IT solutions, emphasizing teamwork, efficiency, and continuous learning.
The company prides itself on a diverse team of professionals who bring a deep understanding of customer missions and business goals. KDA leverages this knowledge to advise clients on emerging trends and develop cutting-edge, cost-effective enterprise solutions. Their commitment to achieving mission success with resilient global solutions is paramount.
Job Description
KDA Consulting Inc. is seeking a highly skilled Data Scientist with expertise in Artificial Intelligence and Machine Learning to support critical programs within the Intelligence Community. This role is central to leveraging advanced analytics to extract valuable insights from large, complex datasets, thereby enabling data-driven decision-making.
The ideal candidate will possess a robust understanding of statistical analysis, proficiency in developing machine learning models, and skill in data visualization. A key aspect of this position involves translating intricate findings into actionable recommendations for both technical and non-technical stakeholders.
Key responsibilities include designing, developing, and deploying machine learning models to address complex mission challenges. You will build predictive and prescriptive analytics solutions, evaluate model performance, and continuously refine algorithms. The role also involves analyzing large datasets to identify trends, performing data cleansing, and applying statistical techniques to validate hypotheses.
Effective communication of insights through dashboards and reports using tools like Tableau or Power BI is essential. You will collaborate closely with data engineers and software developers to operationalize models and integrate solutions into enterprise systems. Participation in Agile processes and contributing to the continuous improvement of data science methodologies are also expected.
A strong foundation in statistical modeling, probability, and data analysis techniques is required, alongside excellent problem-solving skills for complex, mission-driven environments.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- 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
- 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
- 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
- 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
- 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
Qualifications
- 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
How to Apply
To apply for this role, click the Apply button on this page and follow the instructions.
Join Our Communities
The U.S. Intelligence Community is experiencing a surge in demand for advanced data analytics, driving significant growth in the data science sector. This role is pivotal in harnessing AI and ML to extract critical insights from vast, complex datasets. Key technical areas include API integrations, predictive modeling, and data visualization. The position offers a unique opportunity to significantly impact mission success and organizational growth through sophisticated data-driven strategies, signaling a senior-level contribution to national security objectives.
Posted Date
April 5, 2026
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