Data Scientist

Role

Elder Research seeks a Data Scientist to contribute to the design and implementation of advanced statistical and AI/ML solutions for product safety. The role centers on using semantic analysis and machine learning to extract insights from structured and unstructured data, evaluate model performance, and support an AI-powered Sentinel model that reduces time to intervention.

Key Responsibilities

• Leverage semantic “vibe coding” efficiencies to uncover patterns and thematic insights from structured and unstructured data.
• Translate complex datasets into clear, actionable narratives through data storytelling and visualization.
• Design, implement, and maintain AI techniques (e.g., product similarity) and predictive models for anomaly detection, classification, regression, and pattern recognition.
• Perform rigorous model evaluation using metrics such as precision, recall, F1-score, and AUC to ensure reliability and fairness.
• Explore emerging technologies and novel methodologies to improve innovation and efficiency in model development and deployment.
• Use modern tools and workflows (e.g., GitHub Copilot, automated pipelines, CI/CD) to streamline development and deployment in scalable cloud environments (Azure).
• Collaborate in Agile teams, use Git-based version control, and communicate results through dashboards and visualizations.

Requirements

• Minimum 3+ years designing, developing, and deploying statistical and AI/ML models, including regression, classification, NLP, and other predictive analytics approaches.
• Hands-on Python experience with libraries such as Pandas and Scikit-learn; experience with PyTorch or TensorFlow.
• 3+ years working in cloud environments (Azure); certifications are a plus.
• 2+ years using SQL for data querying and manipulation.
• Proficiency with dashboard/visualization tools (Power BI or equivalent) and experience integrating semantic coding techniques into ML workflows.
• Strong oral and written communication for data storytelling; experience with Git-based version control and collaborative development.
• Effective contributor in Agile teams, supporting iterative development and continuous improvement.

Preferred Qualifications

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

Clearance & Citizenship

• Current Public Trust desired. Candidate must be a U.S. citizen and able to obtain and maintain a Public Trust clearance prior to starting.

Tools & Environment (explicitly mentioned)

• Python, Pandas, Scikit-learn, PyTorch, TensorFlow, SQL, Power BI, Azure, GitHub Copilot, Git, CI/CD