Job Details

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