Data Scientist - TS/SCI Security Clearance
Listed on 2026-06-03
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IT/Tech
Data Analyst, Data Scientist
Overview
Kentro is seeking a Data Scientist with an active TS/SCI security clearance to support mission-driven analytics and data initiatives for U.S. government customers.
Location:
Onsite in Charlottesville, VA.
- Analyze large, structured and unstructured datasets to identify patterns, trends, and actionable insights.
- Conduct data mining, exploratory analysis, and use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products.
- Develop and implement machine learning models, predictive analytics, and statistical models to support mission objectives.
- Build data pipelines and data processing workflows to support scalable analytics solutions.
- Create data visualizations, dashboards, and reports to communicate findings clearly to stakeholders.
- Collaborate with data engineers, software developers, and mission analysts to integrate data science solutions into operational systems.
- Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
- Apply advanced statistical methods and machine learning techniques to solve complex analytical problems.
- Support data-driven decision-making across government mission areas.
- Document methodologies, models, and analytical results.
- Contribute to Agile development cycles and technical design discussions.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
- 3+ years of professional experience in data science, analytics, or machine learning supporting software development, analytics, or mission-focused systems.
- Strong proficiency in Python or R for data analysis and modeling.
- Experience with data manipulation and analysis libraries (Pandas, Num Py, Sci Py, or similar).
- Experience building data models and analytic capabilities that integrate into production software systems.
- Experience with machine learning frameworks such as Scikit-learn, Tensor Flow, or PyTorch.
- Strong understanding of statistics, probability, and predictive modeling and experience applying these to real-world datasets.
- Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Plotly.
- Familiarity with SQL and relational databases.
- Experience supporting DoD, the Intelligence community, or other federal agency.
- Ability to communicate complex analytical concepts clearly to technical and non-technical audiences.
- Certified in machine learning, data analytics, or cloud platforms.
- Experience supporting Department of Defense (DoD), Intelligence Community (IC), or Federal Civilian agencies.
- Experience working with large-scale data platforms (Spark, Hadoop, Databricks).
- Familiarity with cloud environments such as AWS, Azure, or Google Cloud.
- Experience building AI/ML solutions for operational or mission systems.
- Knowledge of natural language processing (NLP), computer vision, or graph analytics.
- Experience with data engineering concepts and ETL pipelines.
- Familiarity with Dev Sec Ops and MLOps practices.
- Experience with geospatial analytics or time-series analysis.
- Understanding of data governance, security, and compliance frameworks (NIST, FedRAMP, etc.).
- Experience working in classified environments or SCIF settings.
Active U.S. Security Clearance (TS/SCI) preferred.
Benefits and Equal OpportunityKentro offers a competitive benefits package including paid time off, healthcare benefits, 401(k) with employer match, and education reimbursement for certifications, degrees, or professional development. We are an equal opportunity employer and comply with VEVRAA and other applicable laws. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by law.
How to ApplyTo apply, please click the job link and then the Apply button at the top right of the Job Description. Upload your resume and complete all application steps. If you need alternative methods, please email for assistance.
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