Data Scientist - TS/SCI

Kentro•Charlottesville, VA

5d•Onsite

About The Position

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.

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.

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

paid time off
healthcare benefits
supplemental benefits
401k including an employer match
discount perks
rewards
education reimbursement for certifications, degrees, or professional development
funds for activities – virtual and in-person
happy hours
holiday events
fitness & wellness events
annual celebrations
charity galas/events