Job Description:Join the cutting-edge Data Science and Machine Learning Capability Center (CC) within the Information, Data and Analytics (IDA) team. This role is part of a high-impact innovation program in collaboration with NVIDIA, focusing on scalable HPC-AI applications, with a direct tie to business-critical scientific computing (e.g., seismic imaging).As a Senior Data Scientist, you’ll drive the development, deployment, and lifecycle management of production-grade AI/ML solutions. You’ll work on full-stack data science tools and multimodal LLMs, with the infrastructure to scale—from on-prem HPC compute to cloud burst capacity.Key Responsibilities
Design, develop, and operationalize advanced AI/ML models, especially in deep learning, reinforcement learning, and multimodal LLMs.
Build full-stack data science applications deployed at scale across digital platforms.
Convert R&D prototypes into scalable, production-ready solutions.
Collaborate with research and engineering teams to deliver impactful GenAI tools and models.
Adherent to software quality, digital assurance, and MCDS quality initiative standards (health checks, code reviews, audits).
Evaluate new data science opportunities and contribute to internal communities of excellence (CoEs, CoPs).
QualificationsRequired:
Ph.D. (preferred) or Master’s degree in a STEM field.
Mastery in Machine Learning, Statistical Modeling, and Exploratory Data Analysis.
Deep expertise in Deep Learning and Reinforcement Learning and multimodal LLM experience
Strong programming in PyTorch or TensorFlow.
Ability to deploy and scale solutions across HPC and cloud environments
Expected to convert R&D prototypes into production-ready tools
Must demonstrate strong ML/AI technical mastery and the ability to work cross-functionally with the scientific research and engineering teams
Knowledge of AI Engineering essentials, DevOps, and Agile methodologies.
Hands-on experience with cloud deployment frameworks and infrastructure/tooling (e.g., Azure, AWS, or GCP).
Bonus Skills (Nice-to-Have):
Exposure to HPC Compute & Storage, Scientific Data Tools.
Familiarity with Information Management, Data Governance, and Value Mapping.
Understanding of regulatory and compliance frameworks.
Experience collaborating with external research partners or vendors (e.g., NVIDIA).
About the ProjectThis position supports a Shell innovation initiative under the GenAI R&D and HPC Program. The goal is to deepen Shell’s competitive edge in AI-driven scientific computing by developing scalable models and tools that accelerate R&D workflows and insights.The role is funded through a multi-year investment in:
On-premises and cloud-based HPC computer infrastructure.
High-performance storage and toolsets.
Dedicated AI/ML staffing to deliver next-generation digital solutions.
What You'll Gain
Opportunity to work with cutting-edge AI research and global innovation leaders.
Exposure to real-world scientific and engineering challenges in energy exploration.
A collaborative, intellectually rich environment with support for continuous learning.
Ability to shape scalable digital products with industry impact.
