Data Scientist

About the role

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC).

Responsibilities

• Leverage advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.
• 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.

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.