Diamondback Energy
Operations Data Scientist
Midland, TX
Sponsorship not specifiedDetected 29 days ago
PythonSQLSnowflakeDatabricksMachine LearningData AnalysisData ScienceData VisualizationComputer VisionStatisticsForecastingCommunicationProblem SolvingCritical Thinking
About the role
- CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday.
- This career site is for external applicants only.
- The ideal candidate combines strong technical expertise with the ability to translate business challenges into data-driven solutions and effectively communicate insights to both technical and non-technical audiences.
Responsibilities
- Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data to support performance optimization and risk reduction.
- Perform forecasting, scenario modeling, and techno-economic analysis to support planning, prioritization, and capital allocation decisions.
- Design and support proactive monitoring tools (e.g., Operate-by-Exception workflows) to identify high-risk assets and emerging operational issues.
- Build and maintain dashboards, reports, and executive-level summaries using business intelligence tools.
- Write and manage SQL queries, data transformations, and analytical data models within cloud-based data platforms.
- Collaborate with cross-functional teams (Operations, Engineering, Maintenance, Reliability, IT, and Finance) to define requirements and deliver scalable data solutions.
- Support data integration, data quality, and governance to ensure accurate, consistent, and reliable reporting.
- Identify and implement opportunities for automation, advanced analytics, and process improvements.
Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Analytics, or a related STEM field.
- 7+ years of experience in data science, advanced analytics, or a related quantitative field.
- Strong proficiency in Python and SQL for data analysis, modeling, and transformation.
- Experience working with operational, production, maintenance, or time-series data.
- Experience with cloud-based data platforms (e.g., Snowflake, Databricks, or similar).
- Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau, or Spotfire).
- Ability to work independently while collaborating effectively across technical and business teams.
- Strong communication skills, with the ability to explain complex concepts to non-technical audiences.
Nice to have
- Master's degree in Data Science, Statistics, Engineering, Analytics, or a related field.
- Experience in oil and gas, industrial operations, manufacturing, or other asset-intensive environments.
- Familiarity with reliability modeling techniques (e.g., Weibull, Cox proportional hazards, Kaplan-Meier).
- Experience with anomaly detection, predictive maintenance, and asset performance optimization.
- Experience supporting digital transformation initiatives, Operate-by-Exception workflows, or AI-enabled solutions.
Skills
- Analyze structured and unstructured data to identify trends, anomalies, and opportunities for operational improvement.
- Present insights and recommendations, translating data into clear, actionable business strategies.
Visa & Work Authorization
- Work Authorization:
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This listing is sourced directly from Diamondback Energy's careers page and normalized into a canonical job model.