Operations Data Scientist

Diamondback Energy Inc

Midland, TX

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Business Intelligence, Business Intelligence Software, Business Skills, Business Strategy, Capital Allocation, Cloud Computing, Communication Skills, Computer Science, Computer Vision, Cross-Functional, Data Analysis, Data Modeling, Data Quality, Data Science, Data Visualization Tools, Economic Analysis, Establish Priorities, Finance, Forecasting, Machine Learning, Manufacturing, Mathematics, Oil and Gas, Operational Improvement, Operational Strategy, Performance Tuning/Optimization, Power BI, Predictive Modeling, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Reliability Engineering, Reporting Dashboards, Requirements Management, Risk Analysis, Risk Management, SQL (Structured Query Language), Snowflake Schema, Statistical Modeling, Statistics, Strategic Planning, Structured Data, Tableau, Tibco Spotfire, Trend Analysis, Unmanned Aircraft Systems (UAS), Unstructured Data
LOCATION
Midland, TX
POSTED
8 days ago

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.

The Operations Data Scientist transforms complex operational, production, and reliability data into actionable insights that improve decision-making, optimize performance, and support strategic initiatives. This role partners with cross-functional teams to develop predictive models, analytics, and reporting solutions that enhance operational efficiency, reduce risk, and improve asset reliability. 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.

Job Duties and Responsibilities:

Include but are not limited to:

  • Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data to support performance optimization and risk reduction.
  • Analyze structured and unstructured data to identify trends, anomalies, and opportunities for operational improvement.
  • 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.
  • Present insights and recommendations, translating data into clear, actionable business strategies.

Required Qualifications:

  • 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.
  • Strong foundation in statistics, applied mathematics, and machine learning methods.
  • 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).
  • Strong analytical, problem-solving, and critical thinking skills.
  • 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.

Preferred Qualifications:

  • 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.
  • Experience with image analytics, drone inspection analytics, or computer vision

Relocation:

This position is not available for relocation assistance.

Work Authorization:

Diamondback Energy is not currently sponsoring employment visas for this position.

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

About the Company

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Diamondback Energy Inc