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Intern Data Science Music Jobs in Mount Horeb, WI

Compeer Financial

Intern New Markets

Prairie Du Sac, WI · Hybrid

$19 - $20/hr

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated ... or data science. * Strong computer skills, including MS Office applications. * Strong oral and ...

FTI Consulting

2027 Intern - Technology

Madison, WI

$15 - $20.25/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

FTI Consulting

2027 Intern - Technology

Madison, WI · On-site

$15 - $20.25/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

Labcorp

Operations Scientist II

Madison, WI · On-site

$25 - $28/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Labcorp

Operations Scientist I

Madison, WI · On-site

$59K - $60K/yr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

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Intern Data Science Music information

See Mount Horeb, WI salary details

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$22

$41

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

As of Aug 31, 2026, the average hourly pay for intern data science music in Mount Horeb, WI is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Intern Data Science Music jobs in Mount Horeb, WI look for?

The top searched job categories for Intern Data Science Music jobs in Mount Horeb, WI are:

What cities near Mount Horeb, WI are hiring for Intern Data Science Music jobs?

Cities near Mount Horeb, WI with the most Intern Data Science Music job openings:

Intern Data Science Music jobs near you

Internship in Statistics (Graduate Students)

Oregon, WI • On-site

Maxterial, Inc.
See more jobs at Maxterial, Inc.external

$20/hr

Internship

This job post has expired today. Applications are no longer accepted.

Job description

Who We Are

Maxterial is an advanced chemical and coating technology company with headquarter in San Francisco Bay area and offices in Michigan and soon in Europe. Maxterial is a mid-stage VC-backed innovative private company. Maxterials is backed by world‐known investors and corporations, such as Anglo American, Saint‐Gobain, Peter Thiel Foundation, and Schmidt Family Foundation. Over a period of eight years, Maxterial has developed and tested a revolutionary metallic coating technology platform to protect against wear, heat, and corrosion.

Our technology is safe, durable, low cost, high performing, patent‐protected and easy-to-scale. Maxterial's technology has received interest from various industry segments, including semiconductors, auto, heavy duty equipment, aerospace, and beyond. We are combatting CO2 emissions and various dangerous chemicals, such as Hexavalent chromium and PFAS/PFOS. We invite you to join our journey in a fast‐paced environment and together we can make the world a safer place through commercialization of our advanced technology.

Description

Numerous factors are crucial during the manufacturing of a complex superalloy coating. Various properties and performance of coating systems depend on these factors. The intern scientist is tasked with analyzing existing correlations among the functions and dependencies on the factors. They need to recognize patterns and correlations and propose any additional data collection required. Subsequently, they must use such findings and their knowledge of Design of Experiments (DOE) to design any further required experiments.

Responsibilities

Independently or in collaboration with senior members of the team:

  • Applies advanced statistical techniques to identify patterns and correlations among data and generates insights in various state‐of‐the‐art super‐alloy systems and coatings.
  • Designs, develops, and evaluates experimental models to optimize success in multifactorial experiments.
  • Applies advanced statistical techniques, including analysis of variance, multivariate analyses, and other required techniques, to analyze the data and effects of experimentation.
  • Assists in performing advanced analysis on real‐world and laboratory data to design new experiments and enhance existing methods.
  • Performs data entry and cleaning as needed.

Requirements

  • Ideal candidates have or are in the process of obtaining a Master's or PhD in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative.
  • Experience with data cleaning and manipulation.
  • Strong oral and written communication skills.
  • Deep understanding of Design of Experiments.
  • Experience with Microsoft environment: Windows OS, Office 365, Teams, etc.
  • Utilize statistical software including SPSS and JMP.
  • Have previous experience with multifactorial analysis.

Location

Remote

Compensation

$20 or above per hour.

You will be a part of a world class team backed by world‐famous investors. You can be a major part of a revolutionary industry change to leave major impact by improving the efficiency of industrial process, saving lives and the environment.

Apply