Hiring: Manager - Data Science Company: Expand Energy Location: Oklahoma City, OK Job Posted Time: 2026-09-10 11:42:58 Target Skills & Keywords : Agile, Azure, Git, MLOps, Machine Learning, Segment, Snowflake, Stakeholder Management About the job Experience: •Minimum: 8 years related work experience in data science, machine learning, analytics, or related disciplines •3+ years of experience leading technical teams and managing direct reports Required Skills: •Delivery Leadership & Execution •Lead the delivery of AI, machine learning, and advanced analytics initiatives from concept through production deployment •Own and maintain a prioritized backlog aligned to business objectives and enterprise AI priorities •Facilitate planning, work prioritization, sprint execution, reviews, and retrospectives •Manage resource allocation and delivery capacity across multiple business domains and competing priorities •Maintain visibility into project status, milestones, dependencies, risks, and issues •Proactively remove obstacles and coordinate cross-functional teams to ensure predictable delivery •Technical Leadership & Model Lifecycle Management Qualifications: •Minimum: Bachelor’s degree - from accredited university - Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field •Advanced degree in Data Science, Computer Science, Statistics, Engineering, or related discipline, preferred •Oil and gas industry experience or experience supporting complex industrial operations, preferred •Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law. •Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States. •Test Engineer, Testing, Computer Science, Data Management, Sustainability, Engineering, Technology, Data, Energy Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!