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Sr. Data Scientist

Sr. Data Scientist

United Global TechnologiesHouston, TX, US
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Job Description

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).

Qualifications

Required :

  • 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

    • Preferred :

  • 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).

    • 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 Project

    This 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.
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    Sr Data Scientist • Houston, TX, US