onsite
Operations Data Scientist - DIAMONDBACK ENERGY
Data Scientist
Data‑driven professional who turns complex operational and reliability data into actionable insights, building predictive models and analytics solutions on AWS to boost efficiency, reduce risk, and enhance asset reliability.
About the role
Key Responsibilities
- Collect, clean, and analyze large volumes of operational, production, and reliability data to identify trends and opportunities for improvement.
- Design, develop, and deploy predictive models and machine‑learning algorithms to forecast equipment performance and maintenance needs.
- Collaborate with cross‑functional teams to translate business challenges into data‑driven solutions and present findings through interactive dashboards and reports.
- Implement scalable data pipelines and analytics workflows on AWS, ensuring data integrity and performance.
- Monitor model performance, conduct root‑cause analysis, and iterate on solutions to maintain high accuracy and relevance.
Requirements
- Proven experience in data science, analytics, or related field with a focus on operations or reliability.
- Strong programming skills in Python and proficiency with SQL for data manipulation.
- Hands‑on experience building machine‑learning models and deploying them in a cloud environment, preferably AWS.
- Excellent communication skills, able to convey complex insights to technical and non‑technical stakeholders.
- Experience with data visualization tools (e.g., Tableau, Power BI, or similar) is a plus.
Skills
pythonsqlmachine learningaws