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

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 ...

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 ...

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 ...

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.

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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 Sep 1, 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:

Infographic showing various Intern Data Science Music job openings in Tempe, AZ as of August 2026, with employment types broken down into 22% Internship, 56% Full Time, and 22% Part Time. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $44,833 per year, or $21.6 per hour.

Intern, Marketing (Data Science)

Nextiva

Scottsdale, AZ • On-site

$15 - $20.25/hr

Internship

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we're reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it's through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you're ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.


Location: This is an onsite role based at Nextiva's Scottsdale headquarters (9451 E. Via de Ventura, Scottsdale, AZ 85256). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. 

In-Office Expectation: This role is expected to work onsite five days per week. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity. 


The Role 

Nextiva spends tens of millions of dollars on marketing every year. We generate billions of customer conversations. We have one of the richest GTM datasets in B2B SaaS, and marketing itself is being rebuilt around AI agents. The companies that figure this out first will operate with fewer people, more leverage, and faster cycles than anyone else in the market. We're going to be one of those companies, and you're going to help us build it. 

You'll partner with Marketing, RevOps, BI, and Finance to turn our data into decisions, and you'll ship the AI agents that make those decisions faster: for traffic intelligence, lead qualification, opportunity surfacing, and the ones we haven't named yet. 

What You'll Do 

Marketing Intelligence & Analytics: 

  • Analyze marketing, pipeline, and revenue performance to help surface trends, risks, and opportunities 
  • Support deep-dive analyses on the ambiguous business questions that don't fit in a dashboard 
  • Help translate data into clear, actionable recommendations for marketing leadership 
  • Learn to build frameworks for measuring marketing effectiveness across channels and funnel stages 

AI Agents & Automation: 

  • Build agentic workflows using Cursor, Claude, OpenAI, and other frontier models 
  • Wire agents to our data and tools: HubSpot, Salesforce, our data warehouse, GA, Teams, Slack, and internal APIs 
  • Prototype, deploy, iterate, measure, repeat 
  • Use AI-assisted analysis to uncover trends, anomalies, and optimization opportunities at scale 

Data Strategy & Quality: 

  • Partner with Marketing Ops, RevOps, and BI to help evolve our marketing data ecosystem into something scalable and trustworthy 
  • Help identify gaps and inefficiencies in how we measure, and support the work to fix them 

What Success Looks Like 

  • Marketing leadership trusts the data and the agents you build 
  • Hard questions get answered faster, with sharper clarity 
  • Your agents move from prototype into production 
  • You graduate having shipped something real, measured in business outcomes, not lines of code 

What We're Looking For 

  • 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 project in analytics, data science, or applied AI 
  • Comfortable in Python and SQL, and comfortable in chaos 
  • Already shipping AI projects on your own time 
  • Curious about marketing, sales, and the GTM side of a software business 
  • Strong opinions about what AI can and can't do today 
  • Comfortable operating in ambiguous, fast-moving environments 

Preferred 

  • Experience with BI and visualization platforms (Tableau, Looker, Power BI) or CRM and marketing automation tools 
  • Exposure to modern data warehouse environments or analytics engineering concepts 
  • Attribution modeling, funnel analysis, or forecasting exposure 
  • B2B SaaS or GTM analytics experience 

Nextiva DNA (Core Competencies)

Nextiva's most successful team members share common traits and behaviors:

  • Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go.
  • Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work.
  • Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates.
Total Rewards

Our Total Rewards offerings are designed to allow Nexties to take care of themselves and their families so they can be their best, in and out of the office. 

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. 

  • ???? Health: Multiple health plan options to suit your needs, including medical, dental, vision, and telemedicine coverage 
  • ???? Insurance: Life, disability, and supplemental indemnity plans 
  • ⚖️ Work-Life Balance: Flexible Time Off for salaried employees, PTO for hourly employees, Paid Sick Time, Paid Parental Bonding Leave, and holiday pay
  • ???? Financial Security: 401(k) with company match, Health Savings Accounts with company contributions, Dependent Care FSA 
  • ????‍ Wellness: Employee Assistance Program (EAP) and comprehensive wellness initiatives 
  • ???? Growth: Access to ongoing learning and development opportunities and career advancement 

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career!  


Nextiva is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Nextiva participates in the E-Verify Program where and as required by law. For additional information about E-Verify visit USCIS. 

#LI-MS1 #LI-Onsite


Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we're the future of customer experience and team collaboration through our AI-powered, conversation-centric platform.

Want to see what life at Nextiva is all about? Connect with us on Instagram, Instagram MX, YouTube, LinkedIn, and the Nextiva Blog.