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KDA Consulting

Builds cloud and enterprise technology systems

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeChantilly, VA, USANo salary listed

About the Job

Requirements

  • An active Top Secret/Sensitive Compartmented Information clearance with polygraph is required.
  • A bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field is required, or equivalent experience.
  • Strong experience in data science, machine learning, and statistical analysis is required.
  • Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn are required.
  • Experience analyzing and working with large-scale datasets is required.
  • A strong understanding of statistical modeling, probability, and data analysis techniques is required.
  • Experience with data visualization tools and communicating insights effectively is required.
  • Strong problem-solving skills and ability to work in complex, mission-driven environments are required.

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 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 in 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.

About the Company

KDA Consulting

Builds cloud and enterprise technology systems

KDA Consulting designs and runs enterprise technology for organizations moving complex systems into cloud and hybrid environments. Its engineers connect architecture planning with migration and day-to-day operations, addressing how applications, data and infrastructure work together. Clients buy technical advice and implementation support, with work ranging from network communications and infrastructure to software delivery and cybersecurity. The company manages on-premises platforms as well as cloud infrastructure, setting policies for security, compliance and performance alongside ongoing support. KDA Consulting began business in 2004 and is headquartered in Leesburg, Virginia.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Leesburg, VA
Founded
2004

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