Senior Data Scientist - Data Science and Data Visualization SME
caci · Chantilly
Job description
About the role
CACI is looking for a skilled and motivated Senior Data Scientist to join its Data & Analytics team. The role suits someone with a strong background in statistics, machine learning and data mining who can visualize and communicate complex data clearly. It is a full-time, regular position based in Chantilly with no travel required.
Key responsibilities
- Work with cross-functional teams to identify, research and solve complex analytical problems
- Analyze large data sets to extract meaningful insights
- Design, build and maintain machine learning models and algorithms
- Collaborate with data engineers to improve data collection and storage processes
- Present findings and recommendations to stakeholders in a clear, actionable way
- Support broad Data Management requirements, including data strategy, modeling, documentation, feed identification, infrastructure management, ingestion and automation, transformation, catalog and metadata management, data quality and governance
- Evaluate and integrate emerging AI/ML tools and frameworks to improve analytic capabilities and operational efficiency
Required profile
- Active TS/SCI clearance with polygraph (minimum clearance to start)
- At least 7 years of overall experience and 5+ years in a Data Scientist, Data Analyst or similar role
- Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering or a related field
- Hands-on experience with LLMs and generative AI frameworks
- Ability to work independently and manage multiple projects at once
Required skills
- Data visualization tools such as Tableau and Power BI, including data connection, manipulation and visualization
- Statistical analysis methods and data visualization practices
- Preferred: Tableau Certified Professional, current Security+ or DoD 8570 IAT Level II certification, Tableau scripting, Python, R, SQL, machine learning, predictive modeling, MLOps tools (e.g. MLflow, Kubeflow, Docker, Kubernetes) and cloud platforms in classified environments (AWS GovCloud, Azure Government, C2S)
What we offer
- Proposed pay range of $103,800 - $218,100, depending on location, contract category, experience and skills
- Healthcare, wellness, financial, retirement, family support, continuing education and time-off benefits
- A culture of integrity, a flexible time-off benefit and access to learning resources
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Published 1 hour ago
Expires 1 month from now
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caci
Chantilly