Data Scientist - TS/SCI

Kentro

19h • Onsite

About The Position

Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities. By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones.
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. In this role, you will analyze large and complex datasets to uncover insights, develop predictive models, and build data-driven solutions that support operational, intelligence, and strategic decision-making.
Location: Onsite in Charlottesville, VA

Requirements

• 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, NumPy, SciPy, or similar).
• Experience building data models and analytic capabilities that integrate into production software systems.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, 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.
• IAT Level II or III certified
• Active U.S. Security Clearance (TS/SCI)

Nice To Haves

• 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 DevSecOps 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.
• Strong analytical and problem-solving mindset.
• Curiosity and passion for discovering insights through data.
• Ability to work independently in mission-focused environments.
• Strong communication and collaboration skills.
• Detail-oriented with a focus on accuracy and reproducibility in analysis.

Responsibilities

• Analyze large, structured and unstructured datasets to identify patterns, trends, and actionable insights.
• Conducts data mining, exploratory analysis, and uses 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.

Benefits

• We offer competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more.
• Every employee is eligible for education reimbursement for certifications, degrees, or professional development.
• We dedicate funds for activities – virtual and in-person – e.g., we host happy hours, holiday events, fitness & wellness events, and annual celebrations.
• In alignment with our commitment to our communities, we also host and attend charity galas/events.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level