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Internship Data Science Music Jobs in Boston, MA

AstraZeneca

Scientist, Data Science

Waltham, MA

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

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Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA

$120K - $165K/yr

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Federal Reserve System

Lead Data Scientist

Boston, MA · On-site

... interns. Knowledge and Experience Education: Minimum B. Sc. Computer Science with Statistics or ... Expertise in data analysis, machine learning, and statistical modeling. Experience with data ...

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All JobsData Science Music JobsInternship Data Science Music JobsInternship Data Science Music Jobs in Boston, MA

Internship Data Science Music information

See Boston, MA salary details

$13

$24

$45

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

As of Aug 7, 2026, the average hourly pay for internship data science music in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

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?

AspectInternship Data Science MusicData Analyst Music
Required CredentialsRelevant coursework, basic programming skillsBachelor's in Data Science, Statistics, or related field
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time roles in music industry companies
Industry UsageUsed for training and skill development in music techAnalyzing music consumption, sales, and trends
Search & Comparison IntentUnderstanding internship opportunities in music data scienceComparing 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 Boston, MA? The most popular types of Data Science Music jobs in Boston, MA are:
What are popular job titles related to Internship Data Science Music jobs in Boston, MA? For Internship Data Science Music jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship Data Science Music jobs in Boston, MA look for? The top searched job categories for Internship Data Science Music jobs in Boston, MA are:
Internship Data Science Music jobs near you
Infographic showing various Internship Data Science Music job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.

Internship - Data Management

QuEra Computing, Inc.

Boston, MA

$30 - $40/hr

Other

Re-posted 5 days ago

Job description

About QuEra Computing, Inc.

QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.

Summary

The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows. You'll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers.

Responsibilities

  • AI-powered Data Infrastructure: Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows.
  • Automation and Tooling: Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources.
  • Performance Analysis Pipelines: Build analysis pipelines to extract key device performance metrics (e.g., insertion loss, extinction ratio, bandwidth, yield).  Analyze fabrication metrology datasets from multiple foundries and correlate findings with device performance to identify process-performance relationships.
  • Cross-functional Collaboration: Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows.
  • Documentation: Document data infrastructure and analysis workflows for long-term team use.

Qualifications

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or a related discipline.
  • Strong proficiency in Python programming, with hands-on experience using AI and data science libraries including PyTorch, NumPy, SciPy, and Pandas, and familiarity with workflow automation tools.
  • Working knowledge of data storage formats, database design principles, and data analysis and visualization frameworks.
  • Proven track record of leveraging Python and AI tools to tackle challenging problems in science and physics.
  • Strong analytical mindset with exceptional problem-solving capabilities.
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
  • Clear evidence of self-motivation and the ability to drive independent projects to completion.
  • While a deep background in quantum physics is not a prerequisite, a solid understanding of computer science and mathematics in the context of physical simulation and experimental analysis is required.

Compensation Range: $30-$40/hr

On-site internship. There is no relocation offered for this role.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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