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Operations Data Scientist

Diamondback Energy Open
Midland Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Diamondback Energy. Midland · full-time · no salary stated · we estimate $116,263–$174,915 across the United States.

Estimated pay

Diamondback Energy has not published a salary for this role. The figure below is our estimate, not theirs.

$116,263 – $174,915
What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.
Worked out from 478 postings that stated pay, median $143,050. Last updated Nov 6, 2026.
RoleData Science
SeniorityMid-level
LocationMidland
EmploymentFull-time
PostedJun 22, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build predictive, statistical and reliability models from operations, production and maintenance data to improve performance and reduce risk
  • Study structured and unstructured data for trends, unusual patterns and opportunities to improve operations
  • Forecast outcomes and model scenarios, including economic analysis, to inform planning and capital decisions
  • Create monitoring tools, dashboards and executive reports that flag risky assets and emerging operational issues
  • Use SQL and cloud data platforms to shape analytical data, improve its quality and share clear recommendations

What you bring

  • A bachelor’s degree in a STEM field such as data science, engineering or mathematics, or another related field
  • At least seven years in data science, advanced analytics or a related quantitative discipline
  • Strong Python and SQL skills, plus experience with operational, production, maintenance or time-series data
  • A strong grounding in statistics, applied mathematics and machine learning, with experience using cloud data platforms

Who this fits

This role suits an experienced data scientist who can explain technical findings to non-technical teams and work across operations, engineering, maintenance, reliability, IT and finance. The role is based in Midland, and relocation assistance is unavailable. Employment visa sponsorship is not offered.

From the employer

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.