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Data Science Music Jobs in California (NOW HIRING)

Agent Data Scientist

San Francisco, CA · On-site

$165K - $215K/yr

... support tickets and hold music to faster resolutions, richer conversations, and deeper ... Data plays a central role in almost every one of those narratives, which is why Agent Data Science ...

Agent Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

... support tickets and hold music to faster resolutions, richer conversations, and deeper ... Data plays a central role in almost every one of those narratives, which is why Agent Data Science ...

Agent Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

... support tickets and hold music to faster resolutions, richer conversations, and deeper ... Data plays a central role in almost every one of those narratives, which is why Agent Data Science ...

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

Collaborate with Data Scientists to transform raw music data into actionable insights that drive strategic decisions for artists, labels, and industry professionals * This position is hybrid and will ...

... music, sports, cooking, and more. It is where thousands of communities come together for whatever ... years of data scientist experience PREFERRED QUALIFICATIONS - Master's or PhD in Economics ...

... around gaming, entertainment, music, sports, cooking, and more. It is where thousands of ... You'll need to be comfortable writing SQL, working with imperfect data, and partnering with ...

... around gaming, entertainment, music, sports, cooking, and more. It is where thousands of ... You'll need to be comfortable writing SQL, working with imperfect data, and partnering with ...

Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ... Partner with senior product, design, and data science leaders to define multi‑team roadmaps ...

Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ... Partner with senior product, design, and data science leaders to define multi‑team roadmaps ...

Staff Data Analyst

Westlake Village, CA · On-site

$140K - $175K/yr

... Science partners. Preferred Qualifications * Experience in retail and/or the music industry preferred. * A curious self-starter, eager to push boundaries, ask the right questions, and follow data ...

Senior Manager, Data Engineering

Santa Monica, CA · On-site

$119K - $161K/yr

We are the world's leading music company. In everything we do, we are committed to artistry ... Partner with Ecommerce, Product, Growth/Marketing, Finance, and Data Science stakeholders to enable ...

Senior Manager, Data Engineering

Los Angeles, CA · On-site

$114K - $155K/yr

We are the world's leading music company. In everything we do, we are committed to artistry ... Partner with Ecommerce, Product, Growth/Marketing, Finance, and Data Science stakeholders to enable ...

Analytics Engineer

Tracy, CA · On-site

$100 - $125/hr

... Music Ops, Acquisitions, and other business stakeholders to understand reporting needs, data gaps ... Bachelor's degree in a quantitative field (Mathematics, Statistics, Engineering, Computer Science ...

New

Software Development Engineer - Data

Cupertino, CA · On-site

$141K - $169K/yr

At Apple, the content that reaches hundreds of millions of people: music, films, books, podcasts ... Computer Science, Software Engineering, Data Science, or a related technical field OR Hands-on ...

Showing results 41-60

Data Science Music information

See California salary details

$17.1K

$104.9K

$200.3K

How much do data science music jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science music in California is $104,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,961.00 and $150,801.00 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 popular job titles related to Data Science Music jobs in California?

For Data Science Music jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Data Science Music jobs?

Cities in California with the most Data Science Music job openings:

Infographic showing various Data Science Music job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $104,949 per year, or $50.5 per hour.

Engineering Project Manager, Ai & Data Platforms

Socket.dev

Sunnyvale, CA • On-site

$150 - $200/hr

Other

Posted 20 days ago


Job description

Do you love understanding every detail of how new technologies work? Join the team that serves as Apple's nerve center, our Information Systems and Technology group. There are countless ways you'll contribute here, whether you're coordinating technology needs for product launches, designing music solutions for retail locations, or ensuring the strength of in-store Wi-Fi connections. From Apple Pay to the Apple website to our data centers around the globe, you'll help design and manage the massive systems that countless employees and customers rely on every day. You'll also build custom tools for employees, empowering them to solve complex problems on their own. Join our team, and together we'll explore all the ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers. You will be a member of Apple's organization responsible for driving Generative AI and Data Platforms for Apple enterprise. The enterprise data warehouse manages petabytes of data, processes billions of rows of data to provide insights and enable informed business decisions. This team provides data analytics, machine learning, and data science solutions to various Apple business groups. Our team champions enterprise Generative AI by providing innovative platforms and solutions to transform how we work. We do this with an outstanding group of engineers, data scientists, engineering managers, and product and program managers. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

We are looking for an Engineering Project Manager (EPM), who will be instrumental in orchestrating the successful delivery of complex, cross-functional initiatives that drive significant business impact. Are you a project manager that thrives on working on new technologies and fast-paced application and product development? Do you like to lead a multidisciplinary team working on the future of enterprise data analytics? Then we want to hear from you!

Minimum Qualifications
  • 5+ years of industry experience in an engineering role.
  • 2+ years of managing engineering programs, bringing multiple teams together and marching towards common objectives.
  • BS in Computer Science, Engineering, or a technical related field, or international degree equivalent
Preferred Qualifications
  • Ideally, you have one-plus years experience exposure to AI or ML programs in an enterprise environment
  • Your ability to navigate ambiguity in a high-stakes, fast-moving environment with efficiency, discretion, integrity, and confidentiality is recognized by peers and teams
  • A self-motivated, independent, and proactive person with exceptional interpersonal skills; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure.
  • Outstanding communication and presentation skills, written and verbal, to all levels of an organization.
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