ZipRecruiter

Log In

1

Data Science Intern Jobs in Midland, TX (NOW HIRING)

Chevron

2026-2027 Petroleum Engineer Intern

Midland, TX · On-site +1

$10K/mo

... data scientists, and/or software developers. Petroleum engineers develop technical skills in ... Why Intern at Chevron? * You work on real projects, not side tasks * You use modern tools and cloud ...

Diamondbackenergy

Summer 2027 IT Intern

Midland, TX · On-site

$14.75 - $19.75/hr

... data integration, infrastructure and desktop management, and cyber security. Duration ... Pursuing a bachelor's degree or higher in Management Information Systems, Computer Science, or a ...

Diamondback Energy

Summer 2027 Engineering Intern

Midland, TX · On-site

$16.50 - $21.25/hr

Analyze well production data, decline curves, and pressure trends to support production forecasting ... Participate in intern events and philanthropic endeavors that support the Midland-Odessa community ...

Diamondbackenergy

Summer 2027 Engineering Intern

Midland, TX · On-site

$16.50 - $21.25/hr

Analyze well production data, decline curves, and pressure trends to support production forecasting ... Participate in intern events and philanthropic endeavors that support the Midland-Odessa community ...

EOG Resources, Inc.

Geoscience Intern

Midland, TX · On-site

$15.50 - $20.50/hr

The geoscience intern will demonstrate strong computer skills and the ability to generate geologic maps that show an aptitude to objectively analyze the data and then progress into the realms of ...

Diamondbackenergy

Summer 2027 Human Resources Intern

Midland, TX · On-site

$14.75 - $19.75/hr

... data gathering and analysis in HRIS * Help develop and deliver training and development materials ... Participate in intern events and philanthropic endeavors that support the Midland-Odessa community ...

EOG Resources, Inc.

Geoscience Intern

Midland, TX · On-site

$15.50 - $20.50/hr

The geoscience intern will demonstrate strong computer skills and the ability to generate geologic maps that show an aptitude to objectively analyze the data and then progress into the realms of ...

Chevron

2026-2027 Wells Engineering Intern

Midland, TX

$9.7K/mo

The intern will also be exposed to Chevron's safety and technology culture, will build relationships, and gain exposure to career opportunities at Chevron. Each geographical area has its advantages ...

next page

Showing results 1-20

All JobsData Science Intern JobsData Science Intern Jobs in Midland, TX

Data Science Intern information

See Midland, TX salary details

$11

$22

$41

How much do data science intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data science intern in Midland, TX is $22.09, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $24.09 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are popular job titles related to Data Science Intern jobs in Midland, TX?

For Data Science Intern jobs in Midland, TX, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Midland, TX look for?

The top searched job categories for Data Science Intern jobs in Midland, TX are:

What cities near Midland, TX are hiring for Data Science Intern jobs?

Cities near Midland, TX with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Midland, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $45,957 per year, or $22.1 per hour.

Operations Data Scientist

Diamondbackenergy

Midland, TX • On-site

Full-time

Re-posted 17 days ago

Key responsibilities

  • Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data.

  • Analyze structured and unstructured data to identify trends, anomalies, and opportunities for operational improvement.

  • Design and support proactive monitoring tools to identify high-risk assets and emerging operational issues.

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 aboutE-Verify.

Apply