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Data Science Music Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

Suno is the fastest growing consumer entertainment company and the leader in AI music, seeking ... in data engineering and model training. Responsibilities : • You'll work closely with the ...

We built them by understanding the world of music and podcasts better than anyone else. Join us and ... If you would like more information about how your data is processed, please contact us. Find our AI ...

We built them by understanding the world of music and podcasts better than anyone else. Join us and ... If you would like more information about how your data is processed, please contact us. Find our AI ...

The Research Technician will play a key role in experimental design and execution, data collection ... science, sequencing, molecular biology, robotics, and environmental research. The campus is ...

... scientists, digital innovators, program and construction managers and other professionals ... Gathers and correlates basic engineering data using established and well-defined procedures * Works ...

... scientists, digital innovators, program and construction managers and other professionals ... Gathers and correlates basic engineering data using established and well-defined procedures * Works ...

... scientists, digital innovators, program and construction managers and other professionals ... Gathers and correlates basic engineering data using established and well-defined procedures * Works ...

Pilates professionals and fitness instructors who enjoy working with music Key Focus: Full-body ... Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ...

Barre Instructor

Burlington, MA · On-site

$60 - $95/hr

Pilates professionals and fitness instructors who enjoy working with music Key Focus: Full-body ... Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ...

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Data Science Music information

See Boston, MA salary details

$18.7K

$114.7K

$218.9K

How much do data science music jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science music in Boston, MA is $114,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,525.00 and $164,857.00 per year, depending on experience, location, and employer.

What is a Data Science Music job?

A Data Science Music job involves applying data analysis, machine learning, and statistical techniques to the music industry. Professionals in this field work with streaming data, listener preferences, audio analysis, and recommendation systems to enhance user experiences and optimize business strategies. They may collaborate with music platforms, record labels, or artists to analyze trends, predict hits, and improve content discovery. This role requires proficiency in programming, data visualization, and a deep understanding of both music and data science.

What are the key skills and qualifications needed to thrive in the Data Science Music position, and why are they important?

To thrive in Data Science Music, you need a strong background in statistics, machine learning, and audio signal processing, typically supported by a relevant degree in data science, computer science, or music technology. Familiarity with tools such as Python, R, TensorFlow, and specialized audio analysis libraries (like librosa), as well as experience with music databases and recommendation systems, is essential. Creativity, problem-solving skills, and effective collaboration are valuable soft skills in this interdisciplinary field. These skills are crucial for building data-driven solutions that enhance music analysis, recommendation, and production in the rapidly evolving music industry.

What types of projects do Data Science Music professionals typically work on within a music technology company?

Data Science Music professionals commonly tackle projects such as developing music recommendation algorithms, analyzing trends in streaming data, building audio classification systems, and optimizing playlist curation tools. They may also work on tasks like genre or mood detection, user personalization features, and even acoustic fingerprinting for copyright protection. Collaboration is frequent, often working closely with software engineers, product managers, and musicologists to bring these solutions to life. These projects contribute directly to improving user experience and innovation in digital music platforms, offering a dynamic and intellectually stimulating work environment.

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 Data Science Music jobs in Boston, MA? For Data Science Music jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Science Music jobs in Boston, MA look for? The top searched job categories for Data Science Music jobs in Boston, MA are:
Infographic showing various Data Science Music job openings in Boston, MA as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% In-person job distribution, with an average salary of $114,732 per year, or $55.2 per hour.

$120K - $165K/yr

Full-time

Medical, Retirement

Posted 5 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.