Data Scientist

Data Scientist – SLB

Location : Software Technology Innovation Center (STIC), Menlo Park, CA, USA.

Job Summary : We are seeking scientists and engineers with a strong fundamental understanding of modern data‑driven methods to address challenging problems in the Energy sector. The candidate will conduct undirected technology development and tackle open‑ended AI / ML problems. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics, engineering, or applied / computational mathematics, the ideal candidate demonstrates the knowledge to invent new algorithms to solve data problems. They will participate in data science, artificial intelligence, machine learning, and industrial analytics, with specific emphasis on modern deep learning methods, foundation models, and generative AI solutions.

Responsibilities

• Work with product champions, product managers, and designers to engineer appropriate computer‑system solutions for SLB.
• Communicate sophisticated ML concepts to management, clients, and the business community.
• Research and assess next‑generation technologies for inference, predictive modeling, general‑purpose data‑driven modeling, and optimization of complex systems.
• Generate innovative ideas, establish new technology development directions, and shape and execute technical projects.
• Maintain state‑of‑the‑art knowledge and contribute to technical discussions and reviews as an expert in related areas.
• Communicate ideas, plans, and results effectively via oral and written reports.
• Participate in relevant technical reviews and audits of projects.
• Review, mentor, and coach junior team members while defining and promoting the use of standards, best practices, and lessons learned.
• Work across multiple cross‑functional teams to prototype end‑to‑end data solutions.

Qualifications

Compensation and Benefits

The compensation and benefits for this role are listed in compliance with applicable law. The anticipated annual salary range for this position is $140,000 – $212,000.

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