Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Operations Data Scientist
Midland, TX
Open 4 months, first seen by us 135 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Diamondback Energy is not currently sponsoring employment visas for this position
What you’ll work on
Full postingBuild and maintain predictive, statistical, and reliability models for operational data
Run forecasting, scenario modeling, and techno-economic analysis for planning
Design monitoring tools to flag high-risk assets and emerging issues
Build and maintain dashboards, reports, and executive summaries
Write SQL queries and data models within cloud data platforms
From the employer’s posting
Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data
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.
What you’ll bring
All qualificationsCore experience
- 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).
Preferred experience
- 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.
Qualification wording
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).
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.
Education & alternatives
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.
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.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 135 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 23, 2026135 days ago
- Recorded sightings
- 98
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 135
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past Diamondback’s usual: its jobs come down by about day 24.
From 10,194 similar postings that came down, and 5 of Diamondback’s. Coming down is not always a hire.
Diamondback is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- Power BI
- Snowflake
- Tableau
Where the posting names them
- 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.
- 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.
- 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).
- 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.
Your next step
Complete your application on diamondbackenergy.wd12.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Diamondback
- People
- About 1,762 in 2025, down 11% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as FANG.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Midland, TX
Working pattern and location restrictions need checking in the full posting.
- Work authorization
This position is not available for relocation assistance. Work Authorization: Diamondback Energy is not currently sponsoring employment visas for this position.