Data Scientist - TS/SCI
Role details
Job location
Tech stack
Job description
- 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.
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, * 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.
Clearance Requirement:
- Active U.S. Security Clearance (TS/SCI)
Preferred Personal Attributes:
- 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.
Benefits & conditions
We offer competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. We invest in our employees - Every employee is eligible for education reimbursement for certifications, degrees, or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course, complete a certification, or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development.