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Remote Data Science Music Jobs in Raleigh, NC (NOW HIRING)

GCP Manager

Raleigh, NC ยท On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Power BI Developer

Raleigh, NC ยท Remote

$45 - $50/hr

Raleigh, NC, Remote Client looking to hire a SQL/Power BI developer with 5+ years of development ... Experience with Power BI, familiarity in data science, business intelligence, data analytics ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Our synergetic Ethos IT Team is growing and seeking a full-time Data Architect (REMOTE) to lead the ... A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.

Our synergetic Ethos IT Team is growing and seeking a full-time Data Architect (REMOTE) to lead the ... A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.

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Remote Data Science Music information

See Raleigh, NC salary details

$40.3K

$138.5K

$195.4K

How much do remote data science music jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote data science music in Raleigh, NC is $138,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $161,900.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

How does a remote data science role in the music industry typically collaborate with other departments, such as marketing or A&R?

In a remote data science music role, collaboration with teams like marketing, product, and A&R (Artists & Repertoire) is often achieved through regular virtual meetings, shared analytics dashboards, and cross-functional project management tools. Data scientists may analyze listener trends, predict song success, or segment audiences, providing actionable insights to guide marketing campaigns and artist development strategies. Strong communication skills and proactive coordination are essential, as data-driven recommendations directly inform creative and business decisions within the company.

What are the key skills and qualifications needed to thrive as a Remote Data Science Music professional, and why are they important?

To thrive as a Remote Data Science Music professional, you need strong skills in statistics, machine learning, and music theory, often supported by a degree in data science, computer science, or music technology. Familiarity with programming languages like Python or R, experience with audio analysis tools, and proficiency in music-specific data platforms are typically required. Creativity, problem-solving, and effective remote communication are crucial soft skills for success in collaborative and innovative projects. These skills enable the effective analysis of music data, drive innovation in music technology, and foster productive teamwork in a remote environment.

What is the difference between Remote Data Science Music vs Remote Data Analysis?

AspectRemote Data Science MusicRemote Data Analysis
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of music dataBachelor's in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, often in tech or entertainment industries, with a focus on music dataBusiness or research settings analyzing various data types, often in finance, marketing, or healthcare
Employer & Industry UsageMusic tech companies, streaming services, entertainment industryCorporate, research institutions, marketing agencies across multiple industries

Remote Data Science Music involves applying data science skills specifically to music-related data, often requiring knowledge of music industry trends and audio data analysis. Remote Data Analysis is broader, focusing on analyzing various data types across industries. While both roles require strong analytical skills and familiarity with data tools, Remote Data Science Music emphasizes music-specific data and industry knowledge.

What is a Remote Data Science Music job?

A Remote Data Science Music job involves using data analysis, machine learning, and statistical techniques to analyze or generate music-related data, all while working remotely. Professionals in this field may work with streaming data, user preferences, music recommendation systems, audio signal analysis, or music composition algorithms. They typically collaborate with music platforms, record labels, or research teams to uncover trends, improve recommendations, or create new music experiences. This role requires both data science skills and an understanding of music theory or the music industry.

Is 30 too late for data science?

Remote data science roles are accessible at any age, including at 30, as the field values skills like programming, statistics, and machine learning. Many professionals transition into data science later in their careers, and continuous learning through online courses and certifications can help build relevant expertise regardless of age.

Can data science jobs be done remotely?

Data science jobs, including roles in remote data science music, are often performed remotely as they primarily involve analyzing data, coding, and using tools like Python or R. Many companies offer remote positions for data scientists, especially with skills in cloud computing and collaboration platforms, making remote work a common option in the field.

How much does a Sony music data analyst make?

A data analyst working in the music industry, such as at Sony Music, typically earns between $60,000 and $90,000 annually, depending on experience, location, and skill level. Proficiency in data analysis tools like SQL, Python, or R, and understanding of music industry metrics, can influence salary levels.
What cities near Raleigh, NC are hiring for Remote Data Science Music jobs? Cities near Raleigh, NC with the most Remote Data Science Music job openings:
Director, Strategic AI Partnerships

Director, Strategic AI Partnerships

Bandwidth

Raleigh, NC โ€ข Remote

Other

Medical, Dental, Vision, PTO

Posted 7 days ago


Job description

Who We Are:

Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support.ย Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!

At Bandwidth, your music matters when you are part of the BAND. ย We celebrate differences and encourage BANDmates to be their authentic selves. ย #jointheband

What We Are Looking For:

Bandwidth is seeking a Director of AI Strategic Partnerships & Data Licensing to lead our entry into the Generative AI and Large Language Model (LLM) ecosystem. Reporting directly to the Chief Strategy Officer (CSO), this is a high-impact, "frontier" role responsible for establishing Bandwidth as the essential voice layer for the world's most sophisticated AI companies.

Unlike a traditional sales role, your success will be measured by the breadth and depth of formalized partnerships you secure with major AI players. You will be the bridge between Bandwidth's global network and the next generation of AI-driven voice applications, while simultaneously architecting our first-ever voice data licensing program.

What You'll Do:

  • Market Evangelism: Identify and penetrate "Big AI" accounts (OpenAI, Anthropic, Google, Meta, etc.) and emerging innovators in the Real-time Voice/LLM space to position Bandwidth as the premier platform for high-scale, low-latency voice integration.
  • Data Strategy & Licensing: Design and execute the framework for licensing Bandwidth's unique voice data assets for AI training, ensuring compliance, ethical standards, and high commercial value.
  • Strategic Relationship Management: Navigate complex organizational structures to build "at-level" partnerships with C-suite executives, Product Leads, and Head of Research counterparts.
  • Product-Market Feedback Loop: Act as the "voice of the AI customer" internally. Gather technical requirements and friction points to collaborate with Product and Engineering teams on rapid iterations of our AI feature set.
  • Ecosystem Mapping: Stay at the bleeding edge of AI trends (Text-to-Speech, Speech-to-Text, and Real-time Voice) to identify new areas where Bandwidth can create "moats."
  • Market Making: Define the "Voice for AI" category for Bandwidth. This includes creating partnership structures that prioritize technical integration and long-term ecosystem alignment over short-term transaction volume.

KPIs in this role include:

  • Primary: Number of formalized partnerships and technical integrations secured with Tier-1 and Tier-2 AI players.
  • Secondary: Revenue generated through data licensing and platform usage.
  • Strategic: Quality of product feedback loops and successful internal iteration on AI-specific features.

Working Conditions:

  • Works in a normal office environment with occasional travel required.
  • Location Agnostic: Open to remote candidates, however relatively frequent travel to Bandwidth HQ in Raleigh will be required as well as the ability to work effectively in a distributed environment, maintaining high visibility with the CSO and internal product teams regardless of time zone.

What You Need:

  • Education:
    • Bachelor degree
  • Experience:ย 
    • 10+ years in Business Development, Strategic Partnerships, or Product Management within the SaaS, Cloud Infrastructure, or AI sectors.
    • Experience at a "frontier" tech company or within a high-growth AI/SaaS environment is critical.
  • Knowledge:ย 
    • A deep, intuitive understanding of the AI stack, including how LLMs use data and the requirements for real-time voice synthesis/recognition.
  • Skills:ย 
    • The "Founding" Mindset: Proven track record of taking a "zero-to-one" product or vertical to market. You must be comfortable with ambiguity and building your own playbook.
    • Relationship Excellence: Demonstrated ability to open doors at Tier-1 tech companies and negotiate complex, multi-million dollar contracts that involve both technical and legal stakeholders.
    • AI Technical Fluency: A deep understanding of how AI engines are built, how they consume data, and the specific infrastructure requirements (latency, throughput, reliability) for voice-driven AI.
    • Partnership Savvy: A track record of closing complex, multi-faceted partnerships where "success" was defined by strategic alignment and technical integration rather than just raw revenue.
    • Communication: Exceptional ability to translate between deeply technical engineering requirements and high-level business strategy.
  • Autonomy: As a remote-capable role reporting to the CSO, you must be a self-starter who can maintain high visibility and drive results without a local team.

Bonus Points:

  • Education:ย 
    • MBA, technical degree or both (Computer Science, Data Science, or Electrical Engineering) is highly preferred.
  • Knowledge:ย 

    • Data Privacy Expertise: Familiarity with the legalities of data scraping, consent, and licensing (GDPR, CCPA) specifically regarding audio/voice data.
    • An existing network of contacts within the Silicon Valley AI ecosystem or the hyperscaler (AWS/Azure/GCP) AI divisions.

The Whole Person Promise:

At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well...

  • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
  • All new hires receive four weeks of PTO.
  • PTO Embargo. When you take time off (of any kind!) you're embargoed from working. Bandmates and managers are not allowed to interrupt your PTO - not even with email.
  • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
  • "Mahalo moments" program grants additional time off for life's most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
  • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND.

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