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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 Jul 17, 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
Startup Operations & Investor Relations Intern ($800 Monthly Stipend)

Startup Operations & Investor Relations Intern ($800 Monthly Stipend)

LEARN COLLABORATE INC

OR • Remote

$1.0K/yr

Other

Re-posted 14 days ago

Job description

Location: Remote (US - PST Availability Required)

Hours: 15 hours per week (Flexible around summer schedules)

Length: 3-Months Summer 2026 Cohort

Compensation: $800 Monthly Stipend + Career Development & Professional Experience

Key Responsibilities

  • CRM Pipeline Management: Maintain, clean, and track investor data and pipeline interactions within HubSpot.
  • Investor Market Research: Identify, screen, and profile target angel investors and future venture capital opportunities.
  • Outreach Execution: Coordinate outreach materials, follow-ups, and documentation logistics using Google Drive.
  • Team Communication: Manage daily communication touchpoints using Slack and participate in weekly strategic Zoom syncs.

What We Offer

  • Direct, 1-on-1 mentorship from the founder.
  • Highly descriptive Letter of Recommendation upon successful completion, with the founder serving as a professional reference for your future job applications.
  • Flexible hours to accommodate personal schedules or paid summer work.

Qualifications

  • Current Undergraduate or Graduate student in Business, Finance, Entrepreneurship, Communications, or a related field.
  • Exceptional organizational skills and a strong attention to detail.
  • A proactive, problem-solving mindset with the ability to adapt as priorities shift.
  • Availability for brief communication touchpoints during standard business hours (9:00 AM - 6:00 PM PST).
  • Minimum of 2 academic or professional references.

How to Apply:

To apply, please send your resume and a brief note on what you hope to learn about startup operations. You must start the first line of your message with the word "Velocity" so we know you read this post thoroughly. Applications without this keyword will be archived immediately.

Company Description

Learn Collaborate (LC) is an AI-enhanced, project-based learning platform that bridges the gap between education and industry. We partner with colleges, educators, and companies to deliver real-world, collaborative learning experiences that equip students with the practical skills, mentorship, and career readiness they need to thrive. As a mission-driven startup backed by the National Science Foundation, we are building a dynamic team passionate about reshaping education and creating equitable access to high-impact learning. Join us to help empower the next generation of diverse, workforce-ready talent.