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Data Science Jobs in Midland, TX (NOW HIRING)

Hawk Group

Technical Data Analyst

Midland, TX · On-site

$120/hr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field * Ability to travel to Midland occasionally (approximately every other month) * Experience in oil and gas industry ...

micro1 AI

Digital Chemistry Specialist - Remote

Odessa, TX · Remote

$90 - $120/hr

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

ExxonMobil

Field Analytics Data Analyst

Midland, TX · On-site

Required : • Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field. Education should include mathematical and computer training • 3+ years experience in a ...

ChampionX

Sales Analyst

Midland, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's degree in Business, Finance, Economics, Data Science, or a related field * 2 years of experience in sales analytics, commercial analysis, or sales operations * Proficiency in CRM platforms ...

ChampionX

Sales Analyst

Midland, TX

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's degree in Business, Finance, Economics, Data Science, or a related field * 2 years of experience in sales analytics, commercial analysis, or sales operations * Proficiency in CRM platforms ...

Ranger

Engineering Technician

Midland, TX · On-site

Information Technology, data science or software development a plus PRE-EMPLOYMENT REQUIREMENTS * Must complete and pass all required pre-employment screenings Equal Opportunity Employer This ...

NABORS

WTX - MECHANIC III

Odessa, TX · On-site

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

Hawk Group

Program Analyst

Midland, TX · On-site

$120/hr

Bachelor's degree in a relevant field such as Engineering, Data Science, Information Systems, or a related discipline. * Minimum of 7+ years of experience in data analysis, including working with ...

Hawk Group

Data Analyst

Midland, TX · On-site

$61.60 - $70.84/hr

Job Title: Data Analyst Our Vision: RigUp is where the best workers power the world's most successful projects. We are united by a common mission: to deliver services and technology that ...

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All JobsData Science JobsData Science Jobs in Midland, TX

Data Science information

See Midland, TX salary details

$36.8K

$120.5K

$192.9K

How much do data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science in Midland, TX is $120,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $133,500.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Midland, TX?

The most popular types of Data Science jobs in Midland, TX are:

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Midland, TX as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $120,503 per year, or $57.9 per hour.

Operations Data Scientist

Diamondbackenergy

Midland, TX • On-site

Full-time

Re-posted 22 days ago

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.

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