Sr Data Scientist

Join the ECI Group's Professional Technical Services Network as a contract  Senior Data Scientist.   This position supports our clients' GENAI R&D and HPC Program .  In this role you will work with cutting edge AI research and global innovation leader from the energy exploration sector working on real-world scientific and engineering challenges.

The program's goal is to develop scalable model and toots that accelerate R&D workflows and insights.

D rive the development, deployment, and lifecycle management of production-grade AI / ML solutions.

Embedded with the Information, Data and Analytics (IDA) team in collaboration with NVIDIA focusing on scalable HPC-AI applications with a direct tie to business-critical scientific computing.   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.

This is a short-term contract assignment in our client's Houston office beginning November 24, 2025 and ending April 15, 2026.  Key Roles and 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 Shell’s digital platforms.

Convert R&D prototypes into scalable, production-ready solutions.

Collaborate with research and engineering teams to deliver impactful GenAI tools and models.

Adhere 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).

Qualifications 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 .

Proficient in PyTorch or TensorFlow Strong core programming skills (e.g., Python).

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).

Preferred Skills :

• 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).   Powered by JazzHR