Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related field, or equivalent experience.
Experience in data analysis, statistical modeling, or machine learning.
Proficiency in Python and data science libraries like Pandas, NumPy, and Scikit-learn.
Experience with SQL and relational or non-relational databases.
Strong understanding of statistical analysis and predictive modeling techniques.
Experience with data visualization tools such as Tableau or Power BI.
Ability to communicate technical findings effectively and solve complex problems.
Responsibilities
Collect, process, clean, and analyze large datasets from various sources.
Develop and implement statistical models and machine learning algorithms.
Identify patterns and trends within structured and unstructured data.
Design data visualizations and analytical reports to communicate findings.
Collaborate with multidisciplinary teams to define analytical requirements.
Apply advanced analytical techniques like natural language processing and anomaly detection.
Document methodologies and findings for both technical and nontechnical audiences.
Benefits
Comprehensive health, dental, and vision benefits.
Retirement savings plan with company contributions.
Paid time off and paid holidays.
Professional development and training opportunities.
Opportunities to work on challenging, mission-focused projects.
Collaborative and supportive work environment.
Full Job Description
We are seeking a talented and motivated Data Scientist to join our team supporting mission-critical government programs. The ideal candidate will have experience working with complex datasets, developing analytical models, and leveraging statistical methods, machine learning, and advanced analytics to solve challenging problems.
This position offers the opportunity to collaborate with multidisciplinary teams, develop innovative solutions, and deliver actionable insights that directly support customer missions.
Key Responsibilities
Collect, process, clean, and analyze large, complex datasets from multiple sources.
Develop and implement statistical models, predictive analytics, and machine learning algorithms.
Identify patterns, trends, and relationships within structured and unstructured data.
Design and develop data visualizations, dashboards, and analytical reports to communicate findings.
Collaborate with software engineers, data engineers, analysts, and stakeholders to define analytical requirements and develop solutions.
Apply advanced analytical techniques, including natural language processing (NLP), classification, clustering, and anomaly detection.
Develop and maintain Python-based analytical tools, scripts, and automated workflows.
Evaluate model performance, validate results, and continuously improve analytical methodologies.
Support the integration of data science and machine learning solutions into operational environments.
Document methodologies, findings, and technical solutions for both technical and nontechnical audiences.
Required Qualifications
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field, or equivalent practical experience.
Experience performing data analysis, statistical modeling, or machine learning.
Proficiency in Python and common data science libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
Experience working with SQL and relational or non-relational databases.
Strong understanding of statistical analysis, data mining, and predictive modeling techniques.
Experience with data visualization tools or libraries such as Tableau, Power BI, Matplotlib, or Plotly.
Ability to analyze complex problems and communicate technical findings effectively.
Strong problem-solving skills and ability to work independently and collaboratively.
Ability to meet applicable government security clearance requirements.
Preferred Qualifications
Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
Experience supporting Department of Defense (DoD), Intelligence Community (IC), or other federal government customers.
Experience developing and deploying machine learning models using TensorFlow, PyTorch, or similar frameworks.
Familiarity with large language models (LLMs), generative AI, and retrieval-augmented generation (RAG).
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience working with large-scale data processing technologies such as Apache Spark or Databricks.
Familiarity with MLOps practices, model deployment, and automated machine learning pipelines.
Experience with Git, Docker, Kubernetes, or other modern development tools.
Knowledge of graph analytics, geospatial analysis, or advanced NLP techniques.
Active government security clearance.
What We Offer
Competitive compensation
Comprehensive health, dental, and vision benefits
Retirement savings plan with company contributions
Paid time off and paid holidays
Professional development and training opportunities
Opportunities to work on challenging, mission-focused projects
Collaborative, supportive, and employee-focused work environment
