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Intern Data Science Music Jobs in Springdale, AR

Apprenticely

Marketing Intern - Foreko

Bentonville, AR · On-site +1

$15/hr

As a Go-to-Market Engineer Intern, you sit at the intersection of marketing, data, and technology ... Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS ...

Apprenticely

Marketing Intern - Foreko

Bentonville, AR · On-site

$15/hr

As a Go-to-Market Engineer Intern, you sit at the intersection of marketing, data, and technology ... Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS ...

Apprenticely

Marketing Intern - Foreko

Bentonville, AR · On-site +1

$15/hr

As a Go-to-Market Engineer Intern, you sit at the intersection of marketing, data, and technology ... Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS ...

Reli Group Inc

Power BI Intern

Springdale, AR · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Fayetteville, AR · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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All JobsIntern Data Science Music JobsIntern Data Science Music Jobs in Springdale, AR

Intern Data Science Music information

See Springdale, AR salary details

$10

$19

$37

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

As of Jul 27, 2026, the average hourly pay for intern data science music in Springdale, AR is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $21.68 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 cities near Springdale, AR are hiring for Intern Data Science Music jobs? Cities near Springdale, AR with the most Intern Data Science Music job openings:
Intern Data Science Music jobs near you
Infographic showing various Intern Data Science Music job openings in Springdale, AR as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

AI Operations Intern - Naukr AI

Apprenticely

Bentonville, AR • On-site

$15/hr

Full-time, Internship

Posted 14 days ago

Job description

Apprenticely is working with our company partner, the Naukr Ai to add a Customer Success Engineer - Deployment Intern to their team in Bentonville, Arkansas!
Our Apprenticely Internship Program is a three-month program (working 32-40 hours a week) that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand.
About the Employer:
Naukr.ai - Your AI Data Scientist
We are building a Generative AI Operating System for Data Science that transforms how organizations interact with their data.
Microgcc is an Enterprise AI SaaS company building and deploying the Naukr AI Enterprise AI Data Scientist platform. Our platform develops and deploys autonomous data science and insights reporting agents that replace manual, offshore-heavy data engineering models. We deliver insights faster, better, and cheaper by bypassing legacy data processing bottlenecks.
Naukr.AI is replacing & augmenting Human Data Scientists with Agents.
About the Role:
As a Customer Success Engineer Intern, you will bridge the gap between our autonomous product and live human execution. You will step onto the front lines at client offices, Global Capability Centers (GCCs),and partner agencies to manage platform deployment, integrate data pipelines, and train enterprise teams to shift from spreadsheets to autonomous AI agents.
Core Responsibilities
• On-Site Deployment & Integration: Travel to client sites locally in NWA to lead technical deployment of the Naukr AI platform.
• Data Integration Support: Assist clients with initial data connection and pipeline setups, helping them automate the heavy "ETL" (Extract, Transform, Load) cleaning burden via our agentic layer.
• Client Onboarding & Training: Conduct live, hands-on training sessions for client data analysts, supply chain teams, and revenue managers to show them how to "chat with data" and leverage our live data stories.
• Technical Troubleshooting: Diagnose and resolve platform configuration issues on- site, serving as the direct feedback loop between the client and our core engineering team.
• Adoption Tracking: Ensure client teams are actively utilizing our platform ensuring high adoption.
Qualifications of an ideal candidate:
  • Data Literacy: Basic understanding of databases, SQL, data structures, and how enterprise data workflows operate (ETL, dashboards, or BI tools). Retail and CPG familiarity a plus.
  • Communication & Presence: Exceptional verbal and written communication skills. You must be comfortable presenting to professional rooms, driving workshops, and confidently training corporate stakeholders.
  • Mobility: High energy and complete willingness to travel frequently to client offices at a short notice as required by deployment schedules.
  • The "Challenger" Mindset: A proactive, problem-solving attitude-someone who doesn't just sit behind a laptop, but actively engages clients to ensure technical success.

Additional Details:
  • Pay Range: $15/hr
  • Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday
  • Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand
  • Location: Bentonville, Arkansas

Our Must Haves:
  • Current Arkansas state resident
  • Ability to pass a standard background check
  • Ability to work 32-40 hours a week, during and following the three-month internship
  • Ability to work full-time in the United States without a current or future need for visa sponsorship
  • High curiosity and interest in learning new technologies and growing or starting your IT career
  • Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know

$15 - $15 an hour
How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate's skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program.
Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page.
Check out our YouTube page for past webinars and career tips!
Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter
The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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