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Intern Data Science Music Jobs in Worcester, MA (NOW HIRING)

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 ...

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 ...

Seven Hills Foundation

Urban Youth Intern

Worcester, MA · On-site

$18/hr

... data-testid="conversation-turn-2" data-scroll-anchor="false" data-turn="assistant"> Under the ... Plan and lead fun, structured activities like arts & crafts, music, cooking, and social events.

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All JobsIntern Data Science Music JobsIntern Data Science Music Jobs in Worcester, MA

Intern Data Science Music information

See Worcester, MA salary details

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

As of Aug 2, 2026, the average hourly pay for intern data science music in Worcester, MA is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 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 Worcester, MA? For Intern Data Science Music jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Intern Data Science Music jobs in Worcester, MA look for? The top searched job categories for Intern Data Science Music jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Intern Data Science Music jobs? Cities near Worcester, MA with the most Intern Data Science Music job openings:
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Infographic showing various Intern Data Science Music job openings in Worcester, MA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,707 per year, or $22.5 per hour.

Sr. Data Scientist

Boseallaboutme

Framingham, MA

$120K - $165K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago

Job description

You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.

At Bose, we believe sound is the most powerful force on earth. We've dedicated ourselves to improving it for more than 60 years. And we're passionate down to our bones about making whatever you're listening to a little more magical.

Job Description

ABOUT BOSE

You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.

At Bose, we believe sound is the most powerful force on earth. And we've dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, "I can make this better," we've been relentlessly pushing forward to the next best thing.

Innovation is more than what we do. It's who we are -constantly learning and constantly curious. We never stop imagining what better sound sounds like. We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're passionate down to our bones about making whatever you're listening to a little more magical.

The Role:

At Bose, we aim to bring products into the world that people truly love, and we don't stop until the details are just right. Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the right customers, and allow us to astonish customers with carefully crafted and personalized experiences.

We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and causal modeling, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges. Within this role you will focus on driving the strategy for and building the next generation of forecasting models. You will work with a cross-functional team of data scientists and partner with teams from across Bose to influence decisions that will drive a significant impact to our bottom-line and our customers.

Responsibilities:

  • Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
  • Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
  • Work cross-functionally with sales, product, marketing, and engineering on optimization opportunities and insights.
  • Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Education:

  • MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field
  • Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science
  • Completed coursework related to Business/Management or Business/Customer Analytics

Skills:

  • 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems
  • 2+ years of experience leading data science projects
  • Experience with machine learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling.
  • Experience with experimental research methods (DOE, RCT, Quasi-experimental design)
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems
  • Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
  • Experience with and understanding of project management tools and principles
  • Ideal candidates will have experience with MMM as well.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in Framingham, Massachusetts is: $120,000-$165,000. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC's "Know Your Rights: Workplace discrimination is illegal" Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email.

Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.

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