Overview
Senior Data Scientist will support the cutting-edge Data Science and Machine Learning Capability Center, part of the broader Information, Data, and Analytics (IDA) team. The role is central to a high-impact innovation initiative in partnership with NVIDIA, focused on scalable high-performance computing (HPC) and AI applications that directly support business-critical scientific computing tasks like seismic imaging. The position emphasizes end-to-end AI/ML solution development—from research prototypes to production-grade, full-stack deployments, leveraging deep learning, reinforcement learning, and multimodal large language models (LLMs). It involves scaling these solutions across Shell’s digital platforms using both on-premises HPC infrastructure and cloud capacity.
Base pay range
$60.00/hr - $68.00/hr
About the Project
This role contributes to the GenAI and HPC Program, a multi-year, strategic investment designed to advance AI-driven scientific computing. The initiative emphasizes:
- On-premises and cloud-based HPC infrastructure.
- High-performance storage and specialized AI/ML toolsets.
- Building a dedicated AI/ML workforce to deliver transformative digital solutions.
Key Responsibilities
- Develop, deploy, and manage advanced AI/ML models with a focus on deep learning, reinforcement learning, and multimodal LLMs.
- Build and scale full-stack data science applications for Shell’s global platforms.
- Transition R&D prototypes into production-ready solutions with business impact.
- Collaborate with research, engineering, and external partners (e.g., NVIDIA) on GenAI tools and models.
- Ensure compliance with software quality, digital assurance, and Shell’s MCDS quality standards (e.g., code reviews, audits).
- Explore and evaluate new AI/ML opportunities while contributing to internal communities of excellence (CoEs, CoPs).
Qualifications
Required:
- Ph.D. (preferred) or Master’s degree in STEM.
- 7+ years of experience in Machine Learning, Statistical Modeling, and EDA.
- Advanced skills in Deep Learning, Reinforcement Learning, PyTorch/TensorFlow.
- Strong Python programming background.
- Knowledge of AI engineering, DevOps, Agile practices.
- Experience with cloud frameworks (Azure, AWS, GCP).
- Familiarity with HPC compute & storage, scientific data tools.
- Understanding of data governance, information management, and compliance.
- Experience in collaborating with external research organizations (e.g., NVIDIA).
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Industries: Oil and Gas