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Remote Data Science Music Jobs (NOW HIRING)

Mission Lane

Head of Data Science

Richmond, VA · On-site +1

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

Mission Lane

Head of Data Science

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

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 ...

New

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 ...

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 ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153.20K - $229.80K/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

$169.83K - $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

$153.20K - $229.80K/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

$153.20K - $229.80K/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 ...

Alignerr

Data Scientist (Masters)

Miami, FL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Design Advanced Challenges : Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference ...

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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 1, 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.

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.

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 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 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.

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 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Science Expert - AI Content Specialist

Alignerr

Chicago, IL • Remote

Other

Posted 26 days ago

Job description

Data Science Expert - AI Content Specialist
About the Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the next generation of AI thinks and reasons? We're looking for Data Science Experts to help train and refine cutting-edge AI models - working alongside world-leading AI research labs from wherever you are in the world.
This is a fully remote, flexible contract role designed for experienced data scientists, ML engineers, and quantitative researchers who want to do meaningful, intellectually stimulating work on their own schedule.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Develop complex, expert-level data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Write rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the gold standard for model training
  • Audit AI-Generated Code
    - Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices
  • Refine AI Reasoning
    - Identify logical failures in AI thinking - such as data leakage, overfitting, or mishandled class imbalance - and deliver structured feedback that improves model performance
  • Stress-Test Model Limits
    - Push AI systems to their boundaries across machine learning theory, statistical inference, neural network architectures, and data engineering pipelines
Who You Are
  • Hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
  • Strong foundational expertise in supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
  • Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
  • Meticulous attention to detail - from code syntax to mathematical notation to the validity of statistical conclusions
  • Self-directed and comfortable working independently on technical tasks
  • No prior AI or annotation experience required
Nice to Have
  • Experience with data annotation, data quality, or AI evaluation workflows
  • Familiarity with production data science practices such as MLOps or CI/CD pipelines for models
  • Prior work in academic research, technical writing, or quantitative analysis
Why Join Us
  • Work directly with industry-leading large language models and cutting-edge AI research
  • Fully remote and async - work on your own schedule, from anywhere
  • Freelance autonomy with consistent, meaningful technical work
  • Engage with intellectually challenging problems that have a real impact on the future of AI
  • Potential for ongoing contract renewals as new projects launch

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