

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Houston, TX (hybrid) from Sept 29, 2025, to Apr 15, 2026, offering competitive pay. Requires a STEM degree (Ph.D. preferred), expertise in ML, Deep Learning, and strong programming skills in PyTorch or TensorFlow.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 3, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - Skills detailed
#Strategy #TensorFlow #PyTorch #Deployment #ML (Machine Learning) #Reinforcement Learning #AI (Artificial Intelligence) #DevOps #Data Science #R #Deep Learning #Cloud #Scala #Programming #Data Governance #"ETL (Extract #Transform #Load)" #Agile
Role description
π Data Scientist β Advanced ML & AI (Houston | Hybrid)
Weβre looking for a highly skilled Data Scientist with deep expertise in Machine Learning, Statistical Modelling, and AI Engineering to join a leading global and petrochemical company that develops and delivers cleaner energy solutions through oil, gas, renewables, and advanced technologies. This role sits within a cutting-edge Data Science & ML Capability Center, working on next-generation AI applications in collaboration with some of the biggest names in tech.
π Location: Houston, TX β 3 days/week in office
π
Contract: Sept 29, 2025 β Apr 15, 2026
πΌ Level: Senior
What Youβll Do
β’ Design and deploy advanced ML models (Deep Learning, Reinforcement Learning, multimodal LLMs) at production scale.
β’ Develop and maintain full-stack data science applications on modern digital platforms.
β’ Partner with world-class research teams to transform proof-of-concepts into scalable, business-critical products.
β’ Ensure robust, maintainable code through regular health checks, audits, and reviews.
β’ Contribute to innovation in HPC + AI, enabling breakthrough scientific computing and R&D applications.
What Weβre Looking For
β’ STEM degree required; Ph.D. strongly preferred.
β’ Mastery in Machine Learning & Statistical Modelling.
β’ Expertise in Deep Learning, Reinforcement Learning, LLMs.
β’ Strong hands-on programming with PyTorch or TensorFlow.
β’ Familiarity with cloud deployment frameworks, MLOps/DevOps, and Agile delivery.
Nice to Have
β’ Knowledge of data governance and strategy.
β’ Commercial skills in value assurance and product lifecycle management.
This is a rare chance to work in a world-class AI R&D environment, driving the future of high-performance computing and machine learning in industry.
π Interested? Letβs connect β this is an opportunity to apply your expertise in AI/ML at scale, with global impact.
π Data Scientist β Advanced ML & AI (Houston | Hybrid)
Weβre looking for a highly skilled Data Scientist with deep expertise in Machine Learning, Statistical Modelling, and AI Engineering to join a leading global and petrochemical company that develops and delivers cleaner energy solutions through oil, gas, renewables, and advanced technologies. This role sits within a cutting-edge Data Science & ML Capability Center, working on next-generation AI applications in collaboration with some of the biggest names in tech.
π Location: Houston, TX β 3 days/week in office
π
Contract: Sept 29, 2025 β Apr 15, 2026
πΌ Level: Senior
What Youβll Do
β’ Design and deploy advanced ML models (Deep Learning, Reinforcement Learning, multimodal LLMs) at production scale.
β’ Develop and maintain full-stack data science applications on modern digital platforms.
β’ Partner with world-class research teams to transform proof-of-concepts into scalable, business-critical products.
β’ Ensure robust, maintainable code through regular health checks, audits, and reviews.
β’ Contribute to innovation in HPC + AI, enabling breakthrough scientific computing and R&D applications.
What Weβre Looking For
β’ STEM degree required; Ph.D. strongly preferred.
β’ Mastery in Machine Learning & Statistical Modelling.
β’ Expertise in Deep Learning, Reinforcement Learning, LLMs.
β’ Strong hands-on programming with PyTorch or TensorFlow.
β’ Familiarity with cloud deployment frameworks, MLOps/DevOps, and Agile delivery.
Nice to Have
β’ Knowledge of data governance and strategy.
β’ Commercial skills in value assurance and product lifecycle management.
This is a rare chance to work in a world-class AI R&D environment, driving the future of high-performance computing and machine learning in industry.
π Interested? Letβs connect β this is an opportunity to apply your expertise in AI/ML at scale, with global impact.