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 to drive the development of scalable, efficient, and reliable data-science capabilities.
Requirements
- Eight (8) years of experience in Machine Learning, with experience in GenAI, LLMs and frameworks such as Hugging Face Transformers and LangChain.
- Eight (8) years of programming experience in Python, PySpark, SQL and modern ML Libraries (e.g. Scikit-learn, TensorFlow, PyTorch)
- Six (6) years of hands-on experience with Big Data tools and platforms such as Hadoop, Spark, Hive, MLFlow or Kafka
- Six (6) years of hands-on experience with cloud-based analytics platforms such as Amazon Web Services (AWS) SageMaker, Azure Machine Learning Studio, Google Cloud AI Platform, Snowflake or Databricks
- 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 experience
- Or Bachelor’s degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and eight (8) years of relevant experience
Responsibilities
- 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
- 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
Other
- 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 experience
- Or Bachelor’s degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and eight (8) years of relevant experience
- Ability to work under pressure and meet deadlines
- Strong verbal, written communication, and organizational skills
