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Remote Data Science Music Jobs (NOW HIRING)

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Employee divides their time between in-office and remote work. Access to an office location is ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Engine

Manager, Data Science

$169K - $235K/yr

Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

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All JobsData Science Music JobsRemote Data Science Music Jobs

Remote Data Science Music information

See salary details

$41.5K

$142.5K

$201K

How much do remote data science music jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote data science music in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How does a remote data science role in the music industry typically collaborate with other departments, such as marketing or A&R?

In a remote data science music role, collaboration with teams like marketing, product, and A&R (Artists & Repertoire) is often achieved through regular virtual meetings, shared analytics dashboards, and cross-functional project management tools. Data scientists may analyze listener trends, predict song success, or segment audiences, providing actionable insights to guide marketing campaigns and artist development strategies. Strong communication skills and proactive coordination are essential, as data-driven recommendations directly inform creative and business decisions within the company.

What are the key skills and qualifications needed to thrive as a Remote Data Science Music professional, and why are they important?

To thrive as a Remote Data Science Music professional, you need strong skills in statistics, machine learning, and music theory, often supported by a degree in data science, computer science, or music technology. Familiarity with programming languages like Python or R, experience with audio analysis tools, and proficiency in music-specific data platforms are typically required. Creativity, problem-solving, and effective remote communication are crucial soft skills for success in collaborative and innovative projects. These skills enable the effective analysis of music data, drive innovation in music technology, and foster productive teamwork in a remote environment.

What is the difference between Remote Data Science Music vs Remote Data Analysis?

AspectRemote Data Science MusicRemote Data Analysis
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of music dataBachelor's in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, often in tech or entertainment industries, with a focus on music dataBusiness or research settings analyzing various data types, often in finance, marketing, or healthcare
Employer & Industry UsageMusic tech companies, streaming services, entertainment industryCorporate, research institutions, marketing agencies across multiple industries

Remote Data Science Music involves applying data science skills specifically to music-related data, often requiring knowledge of music industry trends and audio data analysis. Remote Data Analysis is broader, focusing on analyzing various data types across industries. While both roles require strong analytical skills and familiarity with data tools, Remote Data Science Music emphasizes music-specific data and industry knowledge.

What is a Remote Data Science Music job?

A Remote Data Science Music job involves using data analysis, machine learning, and statistical techniques to analyze or generate music-related data, all while working remotely. Professionals in this field may work with streaming data, user preferences, music recommendation systems, audio signal analysis, or music composition algorithms. They typically collaborate with music platforms, record labels, or research teams to uncover trends, improve recommendations, or create new music experiences. This role requires both data science skills and an understanding of music theory or the music industry.
More about Remote Data Science Music jobs
What cities are hiring for Remote Data Science Music jobs? Cities with the most Remote Data Science Music job openings:
What are the most commonly searched types of Data Science Music jobs? The most popular types of Data Science Music jobs are:
What states have the most Remote Data Science Music jobs? States with the most job openings for Remote Data Science Music jobs include:
What job categories do people searching Remote Data Science Music jobs look for? The top searched job categories for Remote Data Science Music jobs are:
Remote Data Science Music jobs near you
Infographic showing various Remote Data Science Music job openings in the United States as of May 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 100% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Data Scientist, Data Science Team

Data Scientist, Data Science Team

College Board

Remote

Full-time

Posted 18 days ago

Job description

College Board - Technology Division
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization's strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.
About the Opportunity
As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.
In this role, you will
Develop machine learning applications (40%)
  • Design and implement high quality software using the latest and greatest cloud and machine learning technologies
  • Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality
  • Help identify and build major components of complex machine learning models
  • Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
  • Build functions, APIs, and data stores to make predictions and analyses accessible to other systems

Data exploration, analysis, and prototyping (40%)
  • Create insights from existing data and drive the collection of new data
  • Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations
  • Create reproducible, documented analyses and models that lend themselves to automation

Team Operations & Success (20%)
  • Help the team break down the work into manageable tasks and support our Agile maturity
  • Substantially improve the team's productivity and quality by enhancing tools, processes, and code structure
  • Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance
  • Assist in the identification and resolution of production issues

About you, you have:
  • Ideally a Master's in a quantitative discipline or computer science, or a Bachelor's and 2-3 years related experience, or 3+ years related experience.
  • Programming expertise in Python (Pandas)
  • Experience in data and statistical analysis
  • Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
  • Experience with SQL and NoSQL databases.
  • A passion for solving difficult problems creatively.
  • Excellent communication and listening skills, and are able to help others understand both problems and solutions.
  • The ability to tell a story with your data.
  • Worked within a close knit team and enjoy helping your colleagues succeed
  • Knowledge in CI/CD, DevOps and Agile
  • Knowledge in developing applications on an Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)

For all roles at College Board:
We are seeking individuals who are passionate about expanding educational and career opportunities and committed to mission-driven work. Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal. Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued. We look for those with curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions, and a proactive approach to independently learning and applying new digital tools. Most importantly, applicants should demonstrate the skills and mindsets aligned with College Board's Operating Principles, reflecting a commitment to continuous growth, collaboration, and impact, notably:
  • A commitment to candid, timely, respectful feedback
  • A learner orientation and an openness to ideas and diverse perspectives
  • The ability to push for excellence through data-informed decision-making, iterative learning, external benchmarking and user-inputs
  • Strong problem-solving skills, including the ability to break down complex issues and identify clear paths forward
  • A track record of prioritizing high-impact work, simplifying complexity, taking initiative, and making decisions quickly with clarity of purpose
  • A habit of collaborating across differences, practicing empathy, and contributing to a culture of trust and shared success

About Our Process
  • Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.
  • While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.

What We Offer
At College Board, we offer more than just a paycheck-we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
  • The hiring range for this role is $135,000-$163,000.
  • Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
  • We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
  • We adjust salaries by location to ensure fairness, no matter where you live.

You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more.
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