... 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 ...
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 ...
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 ...
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 ...
This interview focus on roleplaying interactions with a data science business partner and ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...
This interview focus on roleplaying interactions with a data science business partner and ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...
Our team applies data science and econometric techniques and intensely values each employee to take ... The internship is also designed to give you: * Exposure to how technical degrees such as economics ...
Our team applies data science and econometric techniques and intensely values each employee to take ... The internship is also designed to give you: * Exposure to how technical degrees such as economics ...
Our team applies data science and econometric techniques and intensely values each employee to take ... The internship is also designed to give you: * Exposure to how technical degrees such as economics ...
Our team applies data science and econometric techniques and intensely values each employee to take ... The internship is also designed to give you: * Exposure to how technical degrees such as economics ...
Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements Experience: Internship and/or academic experience involving ...
Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements Experience: Internship and/or academic experience involving ...
Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements * Experience: Internship and/or academic experience involving ...
Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements * Experience: Internship and/or academic experience involving ...
September 1st at 11:59 pm EST Program Summary - Data Science & Technology Internship Company Overview: Castleton Commodities International is a leading global energy commodities merchant and ...
September 1st at 11:59 pm EST Program Summary - Data Science & Technology Internship Company Overview: Castleton Commodities International is a leading global energy commodities merchant and ...
Data Scientist- Associate
Dallas, TX · On-site
$58K - $58K/yr
Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering * Master's degree from an accredited college or university in Computer ...
Data Scientist- Associate
Dallas, TX · On-site
$58K - $58K/yr
Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering * Master's degree from an accredited college or university in Computer ...
Associate Data Scientist
Irving, TX · On-site +1
$56K - $57K/yr
... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...
New
Associate Data Scientist
Irving, TX · On-site +1
$56K - $57K/yr
... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...
New
Associate Data Scientist
Irving, TX · On-site
$54K - $55K/yr
... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...
New
Associate Data Scientist
Irving, TX · On-site
$54K - $55K/yr
... data science and machine learning techniques through professional work, internships, or research. * Experience with Python, SQL, statistical analysis, and databases. * Curiosity and a growth mindset ...
New
Data Engineer
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
Houston, TX · On-site
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
Houston, TX · On-site
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
San Antonio, TX · On-site
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
San Antonio, TX · On-site
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
San Antonio, TX · On-site
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Data Engineer
San Antonio, TX · On-site
$53K - $88K/yr
Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...
Applied Data Solutions Program, Software Engineering (Full-Time Opportunities)
Austin, TX · On-site
$113K - $136K/yr
We have a variety of opportunities for software engineers, data scientists, and machine learning ... Previous Apple FDP or ADSP internship is required. Preferred Qualifications Demonstrate ability to ...
Applied Data Solutions Program, Software Engineering (Full-Time Opportunities)
Austin, TX · On-site
$113K - $136K/yr
We have a variety of opportunities for software engineers, data scientists, and machine learning ... Previous Apple FDP or ADSP internship is required. Preferred Qualifications Demonstrate ability to ...
Internship Data Science Music information
What is an internship in data science for the music industry?
An internship in data science for the music industry is a temporary position where students or recent graduates work with music companies or organizations to apply data analysis techniques to music-related problems. Interns may analyze streaming data, build recommendation systems, or help understand listener behavior using machine learning and statistical methods. The goal is to gain practical experience in both data science and the unique challenges of the music sector. These internships often involve working with large datasets, coding, and presenting insights to stakeholders. They can be a great way to start a career at the intersection of technology and music.
What types of projects can I expect to work on during a data science internship in the music industry?
As a Data Science intern in the music industry, you’ll typically work on projects involving the analysis of streaming data, user behavior, and recommendation systems. You may assist with developing tools to predict song popularity, analyze listening habits, segment user audiences, or help refine algorithms that personalize playlists. These projects often require collaboration with product managers, engineers, and music curators, offering valuable exposure to both technical and creative problem-solving in a fast-paced, data-driven environment.
What are the key skills and qualifications needed to thrive as an internship data science music, and why are they important?
To thrive as a Data Science Music Intern, you need foundational knowledge in statistics, programming (Python or R), and basic understanding of music theory or audio analysis, often supported by ongoing studies in data science, computer science, or a related field. Familiarity with data analysis tools like Pandas, NumPy, Jupyter, and music-specific libraries such as librosa, as well as experience with SQL and Git, is highly valued. Strong problem-solving skills, creativity, and effective communication help interns collaborate on innovative projects and present complex findings clearly. These abilities are essential for extracting insights from music data, contributing to team goals, and advancing both technical and creative aspects of music data projects.
What is the difference between Internship Data Science Music vs Data Analyst Music?
| Aspect | Internship Data Science Music | Data Analyst Music |
|---|---|---|
| Required Credentials | Relevant coursework, basic programming skills | Bachelor's in Data Science, Statistics, or related field |
| Work Environment | Internship setting, entry-level projects | Full-time or part-time roles in music industry companies |
| Industry Usage | Used for training and skill development in music tech | Analyzing music consumption, sales, and trends |
| Search & Comparison Intent | Understanding internship opportunities in music data science | Comparing roles for career progression in music data analysis |
Internship Data Science Music typically involves entry-level training and project work in music-related data science, often as a temporary position. Data Analyst Music is a full-time role focused on analyzing music industry data to inform business decisions. While both roles require analytical skills, internships are more about learning, whereas data analyst positions involve ongoing responsibilities in the music industry.
What are the most commonly searched types of Data Science Music jobs in Texas?
The most popular types of Data Science Music jobs in Texas are:
What are popular job titles related to Internship Data Science Music jobs in Texas?
For Internship Data Science Music jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Internship Data Science Music jobs in Texas look for?
The top searched job categories for Internship Data Science Music jobs in Texas are:
What cities in Texas are hiring for Internship Data Science Music jobs?
Cities in Texas with the most Internship Data Science Music job openings:
Full-time
Re-posted 24 days ago
Patterson-UTI rating
5.0
Based on 23 frontline employees who took The Breakroom Quiz
82nd of 87 rated oil and gas companies
Job description
Job Summary:
Patterson-UTI is a leading provider of integrated completions that employs sustainable practices and equipment to support their customers’ ESG goals. As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to enhance operational efficiency and reduce downtime through advanced data management and analytics.
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.
Qualifications:
Required:
• 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
• 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:
• 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
Company:
Patterson-UTI is a leading provider of drilling and completion services to oil and natural gas exploration and production companies in the United States and other select countries, including contract drilling services, integrated well completion services and directional drilling services in the United States, and specialized bit solutions in the United States, Middle East and many other regions around the world. Founded in 1978, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.
Patterson-UTI is a leading provider of integrated completions that employs sustainable practices and equipment to support their customers’ ESG goals. As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to enhance operational efficiency and reduce downtime through advanced data management and analytics.
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.
Qualifications:
Required:
• 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
• 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:
• 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
Company:
Patterson-UTI is a leading provider of drilling and completion services to oil and natural gas exploration and production companies in the United States and other select countries, including contract drilling services, integrated well completion services and directional drilling services in the United States, and specialized bit solutions in the United States, Middle East and many other regions around the world. Founded in 1978, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Patterson-UTI employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
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