Based in Tulsa, OK, Vital Energy stands as a leader of innovation within the upstream oil and gas sector. We integrate advanced technology with energy resource management to enhance operational efficiency. Vital Energy is recognized for setting industry standards and pioneering solutions that shape the future of energy. Role Description: Data Scientist I As an entry-level Data Scientist I at our oil and gas company, you will support data-driven decision-making processes. Your main responsibilities will include: Collecting, cleaning, and preprocessing data from various sources : This includes sensors, logs, and databases. Building and implementing machine learning models : Focused on predicting and optimizing key performance indicators such as production efficiency, equipment maintenance, and resource allocation. Creating data visualizations and dashboards : To communicate insights effectively to stakeholders. Collaborating with cross-functional teams : Including engineers, geologists, and analysts to identify data-driven operational improvements. Staying updated with industry trends : Leveraging new knowledge to foster innovation. Maintaining documentation : Covering data sources, methodologies, and model development for transparency. Seeking process improvements : Enhancing the efficiency of data analysis activities. Join Vital Energy in Tulsa and be part of a team that is revolutionizing the oil and gas industry, shaping the future of energy. Technical Qualifications Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Programming Skills: Proficiency in Python or R for data analysis and machine learning. Machine Learning: Basic understanding of algorithms and statistical techniques. Data Manipulation: Experience with pandas, NumPy, and similar libraries. Problem-Solving: Strong analytical skills with attention to detail. Communication: Ability to explain technical concepts to non-technical audiences. Team Collaboration: Effective working in team environments. Adaptability: Willingness to learn and adapt in a fast-changing field. Big Data: Familiarity with AWS ecosystem technologies such as Lambda, S3, Glue, and SageMaker. Data Extraction: Experience with unstructured data sources. Cloud Computing: Knowledge of cloud platforms, especially AWS. Geospatial Data: Understanding of geospatial analysis techniques. Relevant Experience: Internships or projects in data science or analytics. At Vital Energy, you will be more than just a Data Scientist; you will be at the forefront of energy innovation. Join us in Tulsa and help shape the future of energy. #J-18808-Ljbffr Intel Corporation
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