Senior Data Scientist

Role

Senior Data Scientist responsible for designing and implementing advanced statistical and AI/ML solutions to extract actionable insights, perform semantic analysis, and support an AI-powered product safety Sentinel model that reduces time to intervention.

Key Responsibilities

• Leverage semantic analysis and “vibe coding” efficiencies to uncover patterns from structured and unstructured data and translate findings into clear narratives via data storytelling and visualization.
• Design, develop, and maintain AI techniques (e.g., product similarity) and predictive models (supervised and unsupervised) for anomaly detection, classification, regression, and pattern recognition.
• Rigorously evaluate model performance using metrics such as precision, recall, F1-score, and AUC to ensure reliability and fairness.
• Apply innovative approaches and emerging technologies to improve efficiency and interpretability of solutions.
• Build and optimize automated pipelines and CI/CD workflows for scalable cloud deployment.
• Collaborate in Agile teams using Git-based version control to support iterative delivery and continuous improvement.

Requirements

• 5+ years designing and developing statistical and AI/ML models, including regression, classification, NLP, and predictive analytics.
• 3+ years hands-on Python experience, including Pandas and Scikit-learn; experience with PyTorch or TensorFlow.
• 3+ years working in cloud environments (Azure); relevant certifications are a plus.
• 2+ years using SQL for data querying and manipulation.
• Advanced proficiency with dashboard and visualization tools (Power BI or equivalent).
• Experience integrating semantic coding techniques into ML workflows.
• Strong oral and written communication skills for data storytelling.
• Experience with Git-based version control, automated pipelines, and CI/CD in collaborative Agile environments.

Preferred Qualifications

• Master’s, Ph.D., or equivalent professional experience in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.

Clearance & Location

• Location: Arlington, VA (USA). Remote type: Hybrid.
• Current Public Trust clearance desired; candidate must be a U.S. citizen and able to obtain and maintain a Public Trust clearance prior to starting.

Tools & Environment

• Explicit mention of Python (Pandas, Scikit-learn, PyTorch/TensorFlow), SQL, Power BI, Azure, Git/GitHub, GitHub Copilot, automated pipelines, and CI/CD.