Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred. * Master's degree or higher in a quantitative engineering or physical science ...
Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred. * Master's degree or higher in a quantitative engineering or physical science ...
... Data Science or related field • 0-5 years of experience applying data science modeling or ... Preferred : • Prior internship or project experience involving industrial IoT sensor data and ...
... Data Science or related field • 0-5 years of experience applying data science modeling or ... Preferred : • Prior internship or project experience involving industrial IoT sensor data and ...
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2026-2027 Earth Science (Previous Intern) Intern
Houston, TX · On-site
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Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred. * Master's degree or higher in a quantitative engineering or physical science ...
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Grand Prairie, TX · On-site
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Grand Prairie, TX · On-site
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Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
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Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
Use data science, machine learning, and/or computer science skills to conduct research and ... internships, or industry work * Ability to code independently without AI as well as effectively ...
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Houston, TX · On-site +1
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Denodo Lead Developer
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$56.50 - $74/hr
Design reusable semantic data models and virtual data layers. * Integrate data from multiple ... Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Denodo Lead Developer
Plano, TX · On-site
$56.50 - $74/hr
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$99K - $225K/yr
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Virtual Data Science Internships information
What is the difference between Virtual Data Science Internships vs Virtual Data Analyst Internships?
| Aspect | Virtual Data Science Internships | Virtual Data Analyst Internships |
|---|---|---|
| Required Skills | Programming (Python, R), statistics, machine learning | Data analysis, Excel, SQL, visualization |
| Work Environment | Remote, collaborative teams, project-based | Remote, reporting, data interpretation |
| Industry Usage | Tech, finance, healthcare, research | Business, marketing, finance, consulting |
Virtual Data Science Internships focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. Virtual Data Analyst Internships emphasize data interpretation, visualization, and reporting. Both are remote, but data science roles often involve more technical programming tasks, while data analysis roles focus on business insights and data presentation.
What are the most commonly searched types of Data Science Internships jobs in Texas? The most popular types of Data Science Internships jobs in Texas are:
What cities in Texas are hiring for Virtual Data Science Internships jobs? Cities in Texas with the most Virtual Data Science Internships job openings:
Other
Re-posted 8 days ago
Patterson-UTI rating
5.0
Based on 23 frontline employees who took The Breakroom Quiz
80th of 86 rated oil and gas companies
Job description
As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to reduce operational uncertainty and strengthen uptime during dynamic operations. You will help modernize maintenance and failure workflows to uncover subtle trends that traditional evaluations may miss, helping the company pursue a meaningful asset-life advantage. By moving data automatically across systems and removing reliance on manual reconciliation, you will help build a foundation for real-time maintenance management and total cost of ownership visibility. Your work will empower field teams with consolidated, purpose-built data that transforms every intervention into a precise, closed-loop maintenance event.
Key Responsibilities:
Support the development of predictive models and automated tracking tools to help maintenance teams shift from reactive to proactive workflows.
Assist in the integration of equipment telemetry and various data streams into modeling frameworks to improve lifecycle management.
Help build and test internal AI-driven tools and trend models to streamline technical troubleshooting and root cause analysis.
Contribute to the development of cost-visibility models to track equipment spend and total cost of ownership at different fleet levels.
Assist in the rationalization and optimization of equipment alarm systems to improve alert quality and reduce operational noise.
Monitor the impact of system alerts to help transition toward actionable, condition-based maintenance strategies.
Support data integrity efforts by helping to link information across disparate internal systems and work order platforms.
Collaborate on the design of user-friendly interfaces and digital aids that provide field personnel with accurate equipment history and procedures.
Job Requirements:
Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas
Expert programming skills in Python (SciPy, NumPy) for simulation and model development
Strong foundation in reliability engineering methods such as root cause analysis (RCA), alarm management KPIs, and failure mode modeling.
Strong communication skills with the ability to explain complex models to non-technical stakeholders
Ability to manage multiple priorities and deliver results on time
Minimum Qualifications:
Bachelor's degree in Mechanical Engineering, Petroleum Engineering, Data Science or related field
0-5 years of experience applying data science modeling or reliability engineering in industrial settings
2+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)
A basic understanding of maintenance workflows, work orders, and asset hierarchies is required.
Preferred Qualifications:
Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred.
Master's degree or higher in a quantitative engineering or physical science discipline
Research publications or patents in equipment reliability, preventative maintenance or related areas
The Evolving Oil Field Demands Evolving Service Providers
NexTier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers' ESG goals while accelerating production in the most demanding US land basins.
Patterson-UTI is committed to a workplace free from discrimination and harassment, offering equal employment opportunities to all individuals regardless of personal characteristics protected by law. Employees are encouraged to report any concerns through multiple channels.
What Patterson-UTI employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Patterson-UTI
Sourced by ZipRecruiter
Industry
Oil and gas extraction
Company size
5,001 - 10,000 Employees
Headquarters location
Houston, TX, US
Year founded
1978