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KDA CONSULTING INC

<div>
 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 &amp; AI Development
 
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to solve complex mission problems
 </li>
 <li>
 Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
 </li>
 <li>
 Evaluate model performance and continuously improve algorithms through testing and tuning
 
 
 </li>
 </ul>
 
 Data Analysis &amp; Exploration
 
 
 
 <ul>
 <li>
 Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
 </li>
 <li>
 Perform data cleansing, feature engineering, and transformation to prepare data for modeling
 </li>
 <li>
 Apply statistical techniques to validate hypotheses and support analytical findings
 
 
 </li>
 </ul>
 
 Data Visualization &amp; Communication
 
 
 
 <ul>
 <li>
 Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
 </li>
 <li>
 Communicate insights and recommendations clearly to both technical teams and senior leadership
 </li>
 <li>
 Translate complex analytical results into actionable business or mission outcomes
 
 
 </li>
 </ul>
 
 Model Deployment &amp; Integration
 
 
 
 <ul>
 <li>
 Collaborate with data engineers and software developers to operationalize models into production environments
 </li>
 <li>
 Integrate machine learning solutions into enterprise systems and workflows
 </li>
 <li>
 Support cloud-based model deployment in environments such as AWS or Azure
 
 
 </li>
 </ul>
 
 Collaboration &amp; Agile Delivery
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
 </li>
 <li>
 Participate in Agile processes including sprint planning, stand-ups, and retrospectives
 </li>
 <li>
 Contribute to continuous improvement of data science methodologies and processes
 
 
 </li>
 </ul>
 
 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
</div>

Data Scientist

<div>
 KDA Consulting Inc. is seeking a highly skilled
 
 Data Engineer
 
 to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.
 
 
 The ideal candidate will have strong experience with
 
 AWS cloud services, data engineering best practices, and big data technologies
 
 , with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.
 
 
 
 Data Pipeline Development &amp; Engineering
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
 </li>
 <li>
 Build and optimize data workflows supporting both batch and real-time processing
 </li>
 <li>
 Ensure high availability and reliability of data pipelines across enterprise systems
 
 
 </li>
 </ul>
 
 AWS Cloud &amp; Data Services
 
 
 
 <ul>
 <li>
 Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
 </li>
 <li>
 Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
 </li>
 <li>
 Implement best practices for data storage, partitioning, and lifecycle management
 
 
 </li>
 </ul>
 
 Data Optimization &amp; Performance
 
 
 
 <ul>
 <li>
 Optimize data storage and retrieval for performance, scalability, and cost efficiency
 </li>
 <li>
 Implement indexing, partitioning, and query optimization strategies
 </li>
 <li>
 Monitor and troubleshoot data pipeline performance issues
 
 
 </li>
 </ul>
 
 Data Quality &amp; Governance
 
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and integrity across all data pipelines and systems
 </li>
 <li>
 Implement validation, monitoring, and error-handling mechanisms
 </li>
 <li>
 Support data governance practices and compliance with security and IC standards
 
 
 </li>
 </ul>
 
 Collaboration &amp; Integration
 
 
 
 <ul>
 <li>
 Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
 </li>
 <li>
 Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
 </li>
 <li>
 Participate in Agile development processes and contribute to continuous improvement efforts
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Active TS/ SCI W/ Polygraph Required.
 
 
 Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
 
 
 Demonstrated experience in
 
 data engineering and pipeline development
 
 
 
 Strong experience with
 
 AWS data services
 
 (e.g., S3, Glue, Redshift, Lambda, EMR)
 
 
 Proficiency in
 
 SQL and Python
 
 for data processing and transformation
 
 
 Experience working with
 
 large-scale data sets and big data technologies
 
 
 
 Strong analytical and problem-solving skills
</div>

Data Engineer

Join KDA CONSULTING INC and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

KDA CONSULTING INC

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Data Scientist

Data Scientist

Data Engineer