ull job description Disclaimer: SLB completed the acquisition of ChampionX on July 16, 2025. If selected for this position, your employment will begin with ChampionX and will transition to SLB as part of the planned integration. We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial Intelligence group located in Sugar Land, Texas. The Chemical Data Scientist will focus on material informatics and sourcing databases. If you are a passionate professional that likes to work in an autonomous, hands-on environment, we invite you to apply. This is your opportunity to join a growing company offering a competitive base salary and benefits. What’s in it For You: The ability to make an impact and shape your career with a company that is passionate about growth. The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best. Thrive in a company that values sustainability, drives a safety-focused culture and has been recognized as one of the most ethical companies in the world. Comprehensive benefits package starting day 1 of employment- medical, dental, vision, matching 401k, and more! What You Will Do: Collect vendor/material data (structures, composition, specs, properties, SDS/TDS where available) and maintain data quality/governance. Design canonical schema and mapping logic; implement feature alignment, unit normalization, synonym/entity resolution, and version control. Build analytics-ready datasets for AI/ML or simulation workflows (features, embeddings, metadata, similarity/search). Establish “candidate-to-action” roadmap: supplier options, substitutes, risk flags, and early cost/lead-time signals for buy vs. synthesize decisions. Collaborate with technical team and procurement to validate recommendations and continuously improve database coverage and accuracy. Minimum Qualifications: Ph.D. in Chemistry, Geology, Chemical Engineering, Data Engineering, Petroleum Engineering or related fields with 6+ years of experience; or M.S. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering, or related fields with 8+ years of experience Prior experience with material informatics and sourcing databases Strong data curation + data engineering skills (Python, SQL) and QA automation. Experience standardizing messy multi-source technical datasets (taxonomy, metadata, entity resolution). Feature engineering and alignment across heterogeneous sources; similarity search/cheminformatics is a plus. Ability to work across R&D and sourcing/procurement stakeholders. Preferred Qualifications: Specialty chemicals/materials domain familiarity (surfactants, inhibitors, polymers, solvents, etc.). Experience at a major specialty-chemicals vendor or in supply chain/procurement (vendor management, sourcing strategy, supplier qualification, lead-time/cost drivers). Synthetic chemistry/manufacturing awareness to add feasibility/scale-up and rough cost/manufacturability signals.