Pytorch Developer Jobs in Oklahoma (NOW HIRING)

Job Summary:
Continental Resources is a leading company in the energy sector, and they are seeking a Senior Engineer, Data Science to design and operationalize advanced analytics and AI/ML solutions. This role involves collaborating with various stakeholders to develop data-driven solutions that enhance operations across subsurface, drilling, and production functions.
Responsibilities:
• Leads the design, development, and deployment of Artificial Intelligence/Machine Learning solutions for upstream subsurface and well operations, including physics-informed and hybrid modeling approaches for reservoir, drilling, and production optimization.
• Builds advanced Artificial Intelligence/Machine Learning solutions for commercial analytics use cases such as pricing, supply chain, marketing, and trading to improve profitability and decision speed.
• Executes complex AI initiatives from ideation and discovery through model development, deployment, and sustainment as part of integrated, enterprise-level teams.
• Architects and implements reliable data pipelines and features using modern data platforms (e.g., Databricks, cloud services), ensuring data quality, lineage, and performance for analytics workloads.
• Applies Machine Learning Ops best practices to automate training, testing, deployment, monitoring, and model lifecycle management at scale in production environments.
• Translates complex business problems into analytical approaches with clear hypotheses, success criteria, and measurable outcomes across upstream and commercial domains.
• Develops and delivers communications that convey a clear understanding of technical concepts, model results, and business implications to diverse technical and non-technical audiences.
• Builds strong partnerships and cross-functional relationships with geoscience, engineering, operations, commercial, IT, and leadership stakeholders to drive adoption and sustain business impact.
• Gains the confidence and trust of others through honesty, integrity, and follow-through while championing responsible and secure use of data and AI.
• Actively seeks new ways to grow and be challenged by staying current on emerging Artificial Intelligence/Machine Learning, generative AI, optimization, and computational techniques relevant to energy and integrating them where they add value.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor of Science in Petroleum, Mechanical, Chemical, or related Engineering discipline from an accredited college or university and Master of Science in Data Science, or a closely related data science or analytics field, from an accredited college or university.
• Minimum five (5) years of hands-on experience delivering production-grade data science/Machine Learning solutions, including end-to-end lifecycle from discovery to deployment and sustainment.
• Proficiency in Python and SQL; experience with Machine Learning frameworks and tooling (e.g., scikit-learn, PyTorch/TensorFlow), and data platforms such as Databricks and cloud services.
• Experience building and maintaining data pipelines and features and applying Machine Learning Ops practices for model deployment and monitoring in enterprise environments.
• Demonstrated ability to partner with technical and business domains in energy, including upstream subsurface, drilling/completions, production operations, and/or commercial analytics such as pricing, supply chain, marketing, or trading.
• An acceptable pre-employment background and drug test.
Preferred:
• Oil and gas industry experience, particularly in upstream engineering, subsurface, drilling and completions, production operations, or commercial energy analytics.
• Background in computational sciences, optimization, or high-performance computing for engineering applications.
• Familiarity with enterprise data governance, security, and responsible AI practices in regulated environments.
• Five (5) or more years of combined oil and gas engineering/domain experience and applied data science experience.
Company:
Continental Resources is focused on the exploration and production of onshore oil prone plays and is a Top 10 independent oil producer. Founded in 1967, the company is headquartered in Oklahoma City, USA, with a team of 1001-5000 employees. The company is currently Late Stage.