ZipRecruiter

Log In

1

Intern Data Science Music Jobs in Tempe, AZ (NOW HIRING)

Nextiva

Intern, Marketing (Data Science)

Scottsdale, AZ

$15 - $20.25/hr

Current student or recent grad in Computer Science, Data Science, Statistics, Marketing Analytics, or a related technical field * At least one prior internship or a substantial academic or personal ...

Nextiva

Intern, Marketing (Data Science)

Scottsdale, AZ · On-site

$15 - $20.25/hr

Current student or recent grad in Computer Science, Data Science, Statistics, Marketing Analytics, or a related technical field * At least one prior internship or a substantial academic or personal ...

ASM

Talent Insights Intern (Spring 2027)

Phoenix, AZ

$15 - $19.75/hr

Currently pursuing a Master's degree in Data Analytics, Data Science, Business Analytics, AI/ML ... As an intern, you will gain hands-on experience by working on industry-relevant workforce ...

PNC Bank

Technology Undergraduate Intern

Phoenix, AZ

$18 - $35/hr

As a Technology Summer Intern within PNC's Technology organization, you will be based in Pittsburgh ... Developer, Data Analytics, Data Science), sophomore or junior status, Minimum GPA 3.0.

HealthCorps

Monitoring & Evaluation Intern

Phoenix, AZ · Remote

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Current undergraduate or graduate student studying public health, data science, social sciences, or ...

next page

Showing results 1-20

All JobsIntern Data Science Music JobsIntern Data Science Music Jobs in Tempe, AZ

Intern Data Science Music information

See Tempe, AZ salary details

$11

$21

$40

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

As of Aug 24, 2026, the average hourly pay for intern data science music in Tempe, AZ is $21.55, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.46 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 are popular job titles related to Intern Data Science Music jobs in Tempe, AZ?

For Intern Data Science Music jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Intern Data Science Music jobs in Tempe, AZ look for?

The top searched job categories for Intern Data Science Music jobs in Tempe, AZ are:

Intern Data Science Music jobs near you
Infographic showing various Intern Data Science Music job openings in Tempe, AZ as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,833 per year, or $21.6 per hour.

Data Science Intern, Interconnection & Transmission

Arevon

Scottsdale, AZ • On-site

Internship

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

Job description

The Position

Arevon is recruiting for the position of Data Science Intern, Interconnection & Transmission, an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries for the 21st century.

The Data Science Intern will support the Interconnection and Transmission teams by ensuring accurate collection, organization, and maintenance of critical data across multiple systems. This role will focus on collecting, compiling, and/or sourcing data/information from multiple sources, transforming it into useable database(s).

The role will also provide an opportunity to gain an understanding of how data can be used across various cutting-edge tools used in the electric generation and transmission industry.

Projects:

  • Map Eastern Interconnection (EI) and Western Electricity Coordinating Council (WECC) Generation Interconnection Queues (GIQ) and transmission projects to raw source files.
  • Aggregate, map and process regional ISO/RTO queue filings, tracking project statuses (e.g., active, under study, withdrawn, operational) and Interconnection customer data.
  • Develop a change-set tracker to monitor changes in transmission object characteristics - Line Status, impedance, voltage  Magnitude, Bus Angle, etc.- between various study cases.

Assist in automating data extraction, web scraping, mapping, change-detection processes across all core interconnection projects.

Key Responsibilities

  • Extract, update and validate electrical topology, system study cases and GIQ data.
  • Parse regional queue applications, commercial operation dates, capacity values, resource types (solar, wind, storage, thermal) to maintain a unified data pipeline.
  • Identify opportunities to automate data ingestion from grid operator portals (e.g., PJM, MISO, CAISO, SPP, ERCOT) and improve workflow efficiency. Maintain a systematic repository of data issues, study case mismatches, queue record discrepancies assisting in their resolution.

Maintain and query backend databases that feed key operational dashboards, interconnection cost models and transmission analytics.

Required Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related technical discipline.
  • Proficiency in Python, SQL, or other programming languages used for data analysis and automation.
  • Strong analytical and problem-solving skills with the ability to interpret and organize complex datasets.
  • Prefer general understanding of electric grid fundamentals, power systems, ISO/RTO interconnection processes or transmission planning concepts.
  • Experience working with Microsoft Excel and data management tools. Effective written and verbal communication skills.
  • Familiarity with relational databases and data transformation techniques. Ability to collect, clean, validate, and organize data from multiple sources. Strong attention to detail and commitment to data accuracy.
  • Ability to work independently while collaborating in a team environment.

Preferred Qualifications

  • Coursework or experience in electric power systems, transmission planning, data standardization, automation, or energy markets.
  • Experience with data analysis libraries such as Pandas, NumPy, or similar tools.
  • Familiarity with GIS, spatial data, or mapping tools.
  • Knowledge of power system modeling software such as PSSE/TARA, PROBE, or similar applications.
  • Understanding electric transmission networks or utility operations.
  • Experience with SQL databases and ETL (Extract, Transform, Load) processes.
  • Experience developing scripts or automating repetitive data processing tasks.
  • Familiarity with version control on large databases.
  • Experience creating dashboards or reports using Power BI, Tableau, or similar visualization tools.
  • Previous internship, research, or project experience in the energy, utility, or renewable energy industry.

Equal Opportunity Employer Statement

Arevon is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We encourage candidates of all backgrounds to apply.

Apply