Integrated Resources, Inc.
Overview
Job Description : Senior Data Scientist Location : Houston TX Duration : 8 + Months Contract (Possibilities of Extension) 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.
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Job Description : Senior Data Scientist Location : Houston TX Duration : 8 + Months Contract (Possibilities of Extension) 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.
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