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Intern Data Science Music Jobs in Edmonds, WA (NOW HIRING)

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... D. in Epidemiology, Biostatistics, Data Science, Public Health, Health Informatics, or a related ...

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... D. in Epidemiology, Biostatistics, Data Science, Public Health, Health Informatics, or a related ...

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Intern Data Science Music information

See Edmonds, WA salary details

$13

$24

$46

How much do intern data science music jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for intern data science music in Edmonds, WA is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $26.92 per hour, depending on experience, location, and employer.

What types of projects can an Intern Data Science Music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

What are the key skills and qualifications needed to thrive as an Intern in Data Science for Music, and why are they important?

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What does an Intern Data Science Music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.
What job categories do people searching Intern Data Science Music jobs in Edmonds, WA look for? The top searched job categories for Intern Data Science Music jobs in Edmonds, WA are:
What cities near Edmonds, WA are hiring for Intern Data Science Music jobs? Cities near Edmonds, WA with the most Intern Data Science Music job openings:

Senior Data Scientist (Multiple Positions)

TikTok

Bellevue, WA • On-site

Full-time

Re-posted 15 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

108th of 246 rated software companies


Job description

Job Summary:
TikTok is the leading destination for short-form mobile video, and they are seeking a Senior Data Scientist to provide insights that influence product development. The role involves applying advanced statistics and machine learning to analyze data, partner with various teams, and mentor junior Data Scientists.
Responsibilities:
• Provide insights to influence product development using advanced statistics, machine learning (ML), and programming.
• Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
• Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
• Build classification and clustering machine learning models to understand data characteristics.
• Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences.
• Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
• Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businesses.
• Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Mentor junior and intern Data Scientists.
Qualifications:
Required:
• Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.
• Of the required experience, must have 2 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing;
• Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification;
• Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques;
• Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
• Building, tuning, and validating statistical models for regression and classification problems in Python and R.
Company:
TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. Founded in 2003, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

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