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Intern Data Science Music Jobs in Remote, OR (NOW HIRING)

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Intern Data Science Music information

See Remote, OR salary details

$12

$22

$42

How much do intern data science music jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for intern data science music in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

What types of projects can an Intern Data Science Music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

What are the key skills and qualifications needed to thrive as an Intern in Data Science for Music, and why are they important?

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What does an Intern Data Science Music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.
What are popular job titles related to Intern Data Science Music jobs in Remote, OR? For Intern Data Science Music jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Intern Data Science Music jobs in Remote, OR look for? The top searched job categories for Intern Data Science Music jobs in Remote, OR are:
Intern Data Science Music jobs near you
Infographic showing various Intern Data Science Music job openings in Remote, OR as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $46,763 per year, or $22.5 per hour.

Software Engineering Intern

Persistent Technology, Inc.

Myrtle Point, OR • Remote

Internship

This job post has expired today. Applications are no longer accepted.

Job description

Position Overview

We are hiring Software Engineering Interns to contribute to the continued development of **Reflect Mobile**, an AI-powered wellness application for iOS and Android that combines guided journaling with AI-generated artwork. Interns will work across the full stack, supporting backend services, mobile features, and cloud infrastructure.

Responsibilities

  • Contribute to development of a mobile wellness application for iOS and Android featuring AI-generated imagery and journaling functionality.
  • Build and maintain backend services and REST APIs using Node.js and Express.js.
  • Integrate third-party AI/ML APIs for image generation and content features.
  • Support authentication and security best practices for user data and API credentials.
  • Work with relational databases for application data persistence.
  • Deploy and maintain services on a cloud platform.
  • Develop mobile-facing features and screens, supporting the end-to-end user flow.
  • Participate in Agile development practices, including team meetings, sprint planning, and iterative delivery.
  • Collaborate with team members and stakeholders to prioritize features and meet release milestones.

Required Skills

  • Familiarity with JavaScript and Node.js / Express.js.
  • Experience with mobile development (iOS, Android, or cross-platform frameworks such as React Native).
  • Working knowledge of relational databases.
  • Familiarity with REST API design and integration.
  • Experience using Git for version control.

Preferred Skills

  • Experience with a major cloud platform (Azure, AWS, or GCP).
  • Familiarity with integrating AI/ML APIs.
  • Comfort working in an Agile team environment.

Education

  • Currently enrolled in or completed a Bachelor's degree in Computer Science or an equivalent field.

Position Details

  • Internship