Senior Data Scientist – AI R&DHybrid

Senior Data Scientist – AI/ML Innovation

About the Role

Join a cutting-edge Data Science and Machine Learning Capability Center within a global Information, Data, and Analytics team. This role is part of a high-impact innovation program in collaboration with leading technology partners, focusing on scalable HPC-AI applications tied to business-critical scientific computing (e.g., seismic imaging).

As a Senior Data Scientist, you will 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, leveraging infrastructure that scales, 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.
• Ensure software quality and digital assurance through rigorous standards (health checks, code reviews, audits).
• Evaluate new data science opportunities and contribute to internal communities of excellence.

Qualifications

Required:

• Ph.D. (preferred) or Master’s degree in a STEM field.
• Expertise in Machine Learning, Statistical Modeling, and Exploratory Data Analysis.
• Deep knowledge of Deep Learning and Reinforcement Learning.
• Proficiency in PyTorch or TensorFlow.
• Strong programming skills (e.g., Python).
• Familiarity with AI Engineering, DevOps, and Agile methodologies.
• Hands-on experience with cloud deployment frameworks and infrastructure/tooling (Azure, AWS, or GCP).

Bonus Skills:

• Exposure to HPC Compute & Storage and Scientific Data Tools.
• Knowledge of Information Management, Data Governance, and Value Mapping.
• Understanding of regulatory and compliance frameworks.
• Experience collaborating with external research partners or vendors.

About the Project

This position supports an innovation initiative under a GenAI R&D and HPC Program. The goal is to deepen competitive advantage 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 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.

nextSource is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure, and life experiences or for any other reason.

nextSource is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, you may contact us at talent@nextSource.com.

What nextSource Provides:

• Healthcare Benefits including Medical, Prescription, Vision & Dental Coverage | United Healthcare
• Voluntary STD & LTD | New York Life
• 401(k) Retirement Planning | Fidelity
• Discount Program

*You are Eligible to participate in the benefits program if you are considered a full-time employee of nextSource, working at least 30 hours per week on a consistent basis. Your coverage will be effective on the 1st of the month following 60 days of employment.