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Data Science Music Jobs in California (NOW HIRING)

Data Scientist

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

LA Kings - Sr. Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... marquee music brands, integrated entertainment districts, premier ticketing platform and global ... MA/MS Degree in Data Science, Data Engineering, or equivalent degree Payscale: $111,657 - $135,000 ...

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

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 ...

Data Scientist

San Francisco, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Data Scientist

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Senior Manager, Data Engineering

Santa Monica, CA

$119K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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 ...

LA Kings - Sr. Data Engineer

El Segundo, CA · On-site

$130K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... marquee music brands, integrated entertainment districts, premier ticketing platform and global ... MA/MS Degree in Data Science, Data Engineering, or equivalent degree Payscale: $111,657 - $135,000 ...

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 Aug 17, 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 the most commonly searched types of Data Science Music jobs in California?

The most popular types of Data Science Music jobs in California are:

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 52% Full Time, and 48% Part Time. Highlights an 100% In-person job distribution, with an average salary of $104,949 per year, or $50.5 per hour.

Engineering Project Manager, Ai & Data Platforms

Apple

Sunnyvale, CA • On-site

$60.75 - $82.25/hr

Full-time

Posted 6 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


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
4+ years of industry experience in an engineering role.
2+ years of managing Cloud Infrastructure and Database setup 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
Understanding of setups of Relational, and noSQL databases
Understanding of Cloud Infrastructure like AWS, Database Security and compliance areas
Understanding of Networking and Storage
Ideally, you have 1 year 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.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976