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Remote Data Science Music Jobs in Phoenix, AZ (NOW HIRING)

AI Data Science Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

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 ...

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 ...

Data Scientist

Phoenix, AZ ยท On-site +1

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 ...

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central ...

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Sr. Data Analyst

Tempe, AZ ยท On-site +1

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Sr. Data Analyst

Tempe, AZ ยท On-site +1

$115K - $145K/yr

Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

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Remote Data Science Music information

See Phoenix, AZ salary details

$41.2K

$141.4K

$199.6K

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

As of Aug 29, 2026, the average yearly pay for remote data science music in Phoenix, AZ is $141,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $165,300.00 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.

What job categories do people searching Remote Data Science Music jobs in Phoenix, AZ look for?

The top searched job categories for Remote Data Science Music jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Data Science Music jobs?

Cities near Phoenix, AZ with the most Remote Data Science Music job openings:

AI Data Science Expert - Remote

YO AI Labs

Phoenix, AZ โ€ข Remote

$100 - $200/hr

Part-time

Posted 18 days ago


Job description

Job Title: 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 project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.