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
RequirementsActive 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
