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Remote Data Science Music Jobs in Newark, NJ (NOW HIRING)

The Music Mission enables Music creators to grow, engage & monetize their fan bases on Spotify ... Degree in data science, computer science, statistics, economics, mathematics, or a similar ...

New

Data Scientist - Music Mission

New York, NY ยท Remote

$116K - $167K/yr

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

Data Scientist - Music Mission

New York, NY ยท On-site +1

$116K - $167K/yr

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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.

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Contractor Location: Remote About the Role We are looking for experienced data scientists and ... Evaluate AI outputs across data science, statistics, ML, and quantitative problems. * Create expert ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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Remote Data Science Music information

See Newark, NJ salary details

$43.4K

$149K

$210.2K

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

As of Sep 12, 2026, the average yearly pay for remote data science music in Newark, NJ is $148,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $174,100.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote data science music professional?

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.

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 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.

Remote Data Scientist

Manhattan, NY โ€ข Remote

Strategic Employment
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

Full-time

Posted 9 days ago


Job description

We're hiring a Remote Data Scientist for a fast-growing, well-funded fintech company. This is a hands-on, non-client-facing seat on a small data team - you'll apply Python, SQL, and applied statistics/ML to real product and risk questions, working closely with engineers and analysts, and presenting those findings to internal and external stakeholders.

Requirements:

  • Solid Python and SQL experience
  • Foundational statistics (hypothesis testing, regression analysis, experimental design)
  • Applied ML exposure (e.g. scikit-learn)

Pluses:

  • Experience working in a start-up or on a fast paced team
  • Statistical Risk modelling experience

Location: Remote - this client is based in NYC and would love to find a candidate in the NY area who can come in now and then, but they're open to anyone located in the US.  

Salary: 150K- 200K DOE!


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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