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Intern Data Science Music Jobs (NOW HIRING)

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry. * Expertise in mathematical modeling ...

During the summer, each BLP Intern is provided with project work that is important to our business ... leveraging data science to develop cutting-edge machine learning models to predict customer ...

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll work directly with operational leaders across claims, plan administration, client services, and ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

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Intern Data Science Music information

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$12

$22

$42

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

As of Jun 29, 2026, the average hourly pay for intern data science music in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 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.
More about Intern Data Science Music jobs
What cities are hiring for Intern Data Science Music jobs? Cities with the most Intern 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 Intern Data Science Music jobs? States with the most job openings for Intern Data Science Music jobs include:
Infographic showing various Intern Data Science Music job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Student Rsch. Intern - Data-Genomics-CR

Student Rsch. Intern - Data-Genomics-CR

Apidel Technologies

Newport Beach, CA

Internship

Posted 26 days ago


Key responsibilities

  • Design and execute a defined research project under faculty and research staff mentorship.

  • Perform data collection, cleaning, analysis, and visualization using clinical, genomic, or translational datasets.

  • Contribute to the drafting of an abstract and/or manuscript for potential submission to a scientific journal or conference.


Job description

Duties:
The Student Researcher Intern will participate in a structured research project within the Family Cancer Institute.
This role is designed for highly motivated students interested in biomedical research, genetics, genomics, data analysis, and clinical/translational research.
The intern is expected to take ownership of a defined research project, analyze and interpret data, and contribute to a timeline driven outcome culminating in an abstract and manuscript suitable for publication.
Work under faculty and research staff mentorship to design and execute a defined research project.
Perform data collection, cleaning, analysis, and visualization using clinical, genomic, or translational datasets.
Assist with genomic data review (e.g., sequencing results, variant interpretation, molecular profiling summaries) as applicable to the project.
Conduct literature reviews and synthesize scientific findings to support research hypotheses and interpretation.
Apply basic statistical and analytical methods to answer research questions.
Maintain accurate documentation of methods, analyses, and results.
Prepare figures, tables, and written summaries of findings.
Actively participate in research meetings, project updates, and presentations.
Contribute significantly to the drafting of an abstract and/or manuscript with the goal of submission to a scientific journal or conference by the end of the internship.
Skills:
Required Skills & Experience:
Strong interest in biomedical, clinical, translational, or genomics research.
Ability to work independently with a high level of responsibility and follow projects through to completion.
Strong analytical, problem solving, and organizational skills.
Excellent scientific writing and presentation skills with attention to detail.
Proficiency in Microsoft Word, Excel, and PowerPoint.
Ability to work collaboratively in a multidisciplinary research environment.
Preferred Skills & Experience:
Experience with literature searches, reference management, or academic writing.
Prior data analysis, research methods, or laboratory/clinical research exposure.
Familiarity with genomics, bioinformatics concepts, electronic medical records, or research datasets.
Basic knowledge of statistics, R, Python, SPSS, or similar analytical tools (helpful but not required).
Education:
Required Education:
Must be at least a junior in college or a recent graduate with coursework in biology, bioinformatics, data science, public health, computer science, or a related field.
Preferred Education:
N/A
Required Certification & Licensure:
N/A
Preferred Certification & Licensure:
N/A


Apidel Technologies logo

About Apidel Technologies

Sourced by ZipRecruiter

We understand that attracting, qualifying, placing, and retaining the best candidates for our clients requires exceptional talent. That’s why our highly skilled and dedicated recruitment team works tirelessly to develop lifelong associations with all candidates and clients. We prioritize helping our employees achieve their career goals while providing effective staffing solutions to our clients and candidates. At Apidel, we believe in simple yet established core values that are ingrained within each member of our team. These values are time and again illustrated in our approach to employees, candidates, and clients. Our unwavering belief that our core values of integrity, client satisfaction, innovation, and intellect distinguish us from our competitors is what drives us forward. We remain focused on improving and sustaining a measurable client satisfaction program that has created an organizational culture where our associates provide world-class service every day.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Plainfield, IL, US

Year founded

2012