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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Scientist - **Company:** Celestar - **Location:** Ashburn, VA, United States - **Experience:** Expert - **Salary:** $150,000 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Amazon S3, Data Analysis, Computer Vision, Information Systems, D3.Js, Data Infrastructure, Data Mining, Data Visualization, Decision Support Systems, Desktop Computing, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Power BI, Tensorflow, SQL Databases, Tableau (Software), Reinforcement Learning, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Scikit Learn, Information Technology, Data Analytics, Xgboost, Qlikview, Unsupervised Learning - **Published:** November 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9312673/ai-data-scientist ## About the Role * Minimum 5+ years of experience in Data Science. * Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems required. Master's degree is preferred, * Working knowledge and understanding of supervised and unsupervised learning algorithms such as regression, classification, clustering, and dimensionality reduction. * Experience with Large and Small Language models, Vision models, Prompt and Context engineering. * Experience with advanced techniques like deep learning, reinforcement learning, and natural language processing (NLP). * Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost). * Strong foundation in statistical methods, hypothesis testing, and experimental design. * Proficiency with Data Visualization tools like Tableau, QuickSight, Power BI, QlikView, or D3.js. * Strong analytical skills with the ability to analyze complex data and produce actionable insights. * Experience with AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight, Glue, and S3 * Proficiency in Python and/or R for data analysis and ML development. * Proficiency in SQL for data extraction and manipulation. Security Clearance: * Active TS or CBP BI Physical & Work Environment Requirements * Employees must be able to perform the essential functions of this position, with or without accommodation. * Ability to remain stationary for extended periods while working at a computer. * Frequently operate standard office equipment, including computers and telephones. * Ability to communicate effectively in person, by telephone, video conference, and email. * Occasionally move about the office and lift up to 20 pounds. * Ability to work the assigned schedule with regular and reliable attendance. * Ability to travel up to 10% as required. ## Description B&A is looking for an AI Data Scientist to join a contract with a federal government client in support of an important mission. This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets. Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers., * Design and implement machine learning models, Gen-AI (LLM) and NLP models, and statistical methods to solve complex business challenges. * Build scalable solutions for predictive modeling, optimization, and decision support. * Analyze large and complex data sets to uncover trends, generate actionable insights, and support data-driven strategies. * Communicate findings effectively to both technical and non-technical audiences. * Collaborate with cross-functional teams (internally, with partners and with customers) to collect and interpret data. * Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver measurable impact. * Design and produce compelling data visualizations and interactive dashboards. * Transform complex findings into intuitive visual reports and dashboards to facilitate understanding for non-technical audiences. * Stay updated with the latest trends in data visualization and integrate innovative techniques into the workflow. * Work closely with the distributed teams and stakeholders to ensure the data infrastructure decisions factor the interests and data goals of the company and its partners. * Advocate for data science and analytics principles/best-practices in design/requirements discussions with customers * Engage with stakeholders to understand their needs and tailor visualizations accordingly.