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. Drive 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 fQw24af0f7