Data Scientist

KDA Consulting Inc; Herndon (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical IC programs.

You will leverage advanced analytics and machine learning to extract insights from large datasets and support data-driven decisions. The ideal candidate will apply statistical analysis, ML model development, and data visualization to translate findings for technical and non-technical stakeholders, working with cross-functional teams in an Agile environment.

Qualifications

• Experience in data science, ML, and statistical analysis.
• Proficiency in Python and ML frameworks.
• Experience handling large-scale datasets and extracting actionable insights.
• Strong communication skills to translate technical results for stakeholders.

Responsibilities

• Design, develop, and deploy ML models for mission-critical analytics.
• Analyze large structured and unstructured data to identify trends and insights.
• Create dashboards and reports for technical and non-technical stakeholders.
• Collaborate with engineers and stakeholders in Agile sprints to deliver solutions.
• Assist deployment of models in cloud environments (AWS/Azure) and production systems.

Skills

Data analysis

Statistical analysis

Machine learning

Data visualization

Python

Education

Bachelor's degree in Data Science

Related field (CS/Math/Statistics)

Tools

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

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

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