Principal Data Scientist On-Site, Listed

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Job Description:

At Regions, the Principal Data Scientist is a visionary and hands‑on practitioner that supports the Data Science team by deepening technical bench strength across Machine Learning (ML), MLOps and GenAI. This position will drive the development of scalable, efficient, and reliable data‑science capabilities that elevate the entire team’s productivity and impact. This includes advancing model lifecycle management, establishing best‑in‑class practices, designing ML pipelines, and guiding the adoption of emerging technologies like Large Language Models (LLMs) and Generative‑AI.

The candidate should have comprehensive knowledge of end-to‑end data science modeling life cycles and strong track record of successfully delivering complex data science projects.

• Develops and leads execution of the research roadmaps for advanced AI Capabilities such as LLM, GenAI, Retrieval‑Augmented Generation (RAG), Agents and Computer Vision etc.
• Stays at the cutting edge of ML/AI literature and practices
• Periodically evaluates the design of existing modeling and MLOps and identifies opportunities for improvement
• Serve as a technical Subject Matter Expert (SME) on modeling techniques, feature engineering, pipeline orchestration, performance optimization and testing
• Partners with other data scientists, engineers and product teams to define technical standards, influence solution‑design decisions, and raise the bar on solution quality
• Champions MLOps excellence across the team, including CI/CD for ML, automated testing, monitoring, model versioning and rollback strategies
• Designs and promotes implementation of reusable codes, tools and frameworks for model development, training, deployment, monitoring and governance
• Drives complex, high‑impact modeling projects from ideation to production, especially where advanced techniques (e.g. NLP, GenAI, LLMs) can drive strong business value
• Leverages statistical analysis, machine learning (ML) and deep learning (DL) techniques, collaborating with various lines of businesses to design data products that enhance profitability, mitigate risks, and drive customer engagement across all touchpoints
• Leverages cloud‑based analytical platforms to build data analytics solutions
• Extracts actionable insights from data to support data‑driven decision‑making processes
• Collaborates with risk management and compliance teams to ensure compliance with internal and external regulatory requirements
• Fosters a culture of innovation and continuous improvement within the team

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

This position is incentive eligible.

• PhD degree in a quantitative or analytical field such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and our (4) years of relevant experience
• Or Master’s degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and six (6) years of relevant…