Senior Data Scientist

Job Description: Senior Data Scientist
Location: Houston TX
Duration: 8 + Months Contract (Possibilities of Extension)

Job Description:
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 client 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 Client s 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 Modelling, 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).

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 innovation initiative under the GenAI R&D and HPC Program. The goal is to deepen Client 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 compute infrastructure.
• High-performance storage and toolsets.
• Dedicated AI/ML staffing to deliver next-generation digital solutions.

What You'll Product:

• 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.