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# Data Scientist - TS.SCI w/ favorable poly REQUIRED

- **Company:** BK Consulting
- **Location:** McLean, VA, United States
- **Salary:** $200,000 - $250,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Data Integration, Data Mining, Data Visualization, Programming Tools, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Power BI, Tensorflow, Standard Sql, Tableau (Software), Unstructured Data, Google Cloud, Pytorch, Large Language Models, Apache Spark, Generative AI, Git, Pandas, Matplotlib, Scikit Learn, Kubernetes, Information Technology, Plotly, Non-relational Database, Machine Learning Operations, Docker, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/729bdd91-00ee-4ef7-946a-e85c9a1ed837/data-scientist-tssci-w-favorable-poly-required

## About the Role

* 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.

## 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., * 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.