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

Spotify

Research Scientist - Personalization

Boston, MA · Remote

$133K - $190K/yr

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 ...

Spotify

Research Scientist - Personalization

Boston, MA · On-site

$133K - $190K/yr

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 ...

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

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 Aug 28, 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 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 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 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:

Data Science Music jobs near you
Infographic showing various Data Science Music job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,732 per year, or $55.2 per hour.

Data Scientist, Trading Operations

Boston, MA • On-site

Quant Blueprint LLC
See more jobs at Quant Blueprint LLCexternal

$85 - $120/hr

Other

Posted 23 days ago

Job description

Voleon is a technology company that applies state‑of‑the‑art machine‑learning techniques to real‑world problems in finance. For over a decade, we have led our industry and worked at the frontier of applying machine‑learning to investment management. We have become a multibillion‑dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in machine‑learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

The Voleon Group has formed a new team to help advance our data‑driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine‑learning company, data insights are essential to our business.

As a Data Scientist in Trading Operations, you will be embedded in the Quantitative Trading Strategy team. The team focuses on domain‑heavy technical work, such as tuning execution algorithms and optimizing portfolio financing. You will build, maintain, and analyze data pipelines to generate insight consumed by the whole team. You will work at the intersection of trading and research on problems requiring market domain expertise and statistical and quantitative rigor.

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