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Remote Data Science Music Jobs in Columbia, SC (NOW HIRING)

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

VIVA USA INC

AI Software Architect

SC · On-site +1

Fully Remote with occasional onsite visits required. Description: Project Overview This position ... Undergraduate degree in computer science, data science, artificial intelligence or related field ...

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All JobsData Science Music JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Columbia, SC

Remote Data Science Music information

See Columbia, SC salary details

$38.4K

$131.8K

$186K

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

As of Jul 31, 2026, the average yearly pay for remote data science music in Columbia, SC is $131,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $154,000.00 per year, depending on experience, location, and employer.

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.
What are popular job titles related to Remote Data Science Music jobs in Columbia, SC? For Remote Data Science Music jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Music jobs in Columbia, SC look for? The top searched job categories for Remote Data Science Music jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Remote Data Science Music jobs? Cities near Columbia, SC with the most Remote Data Science Music job openings:
Remote Data Science Music jobs near you

AI Solutions Architect - Fully REMOTE with Occasional Onsite Visits required

RICEFW Technologies, Inc.

Columbia, SC • On-site, Remote

Contractor

Posted 3 days ago

New

Job description

Why is this position open: New Position - As an artificial intelligence (AI) subject-matter expert, this position will support OTIS and the State's AI Center of Excellence by providing technical expertise for the evaluation and responsible implementation of AI solutions. This is a repost of posting ID 12900 due to location requirement changes - resources may be submitted if they were previously submitted.
Will close to submissions on 08/5 at 5:00PM EST.
Interview Process: 1 round, Virtual/Online
Duration of the Contract: 12 months
Possibility for Extension: Yes
Work Location: Fully Remote with occasional onsite visits required.
Candidate Location: No South Carolina residency required. Open to nationwide candidates; must be able to work eastern time zone hours. All travel-related costs for onsite work will be the responsibility of the resource, regardless of the frequency of onsite work."
Daily Duties / Responsibilities:
1. Support the development and implementation of AI strategies that align with organization's goals and objectives
2. Contribute to the AI review and approval process for use cases and vendors, ensuring they meet established compliance and operational requirements across the state.
3. Support and promote the adoption of standardized AI processes.
4. Support the State's AI Center of Excellence by contributing technical expertise to the design of secure architectures, development of reusable technical patterns, use case development, prototyping, feasibility assessments and responsible implementation of AI solutions.
5. Develop and maintain a high level of expertise in AI, positioning Office of Information Technology Services as a leader.
Required skills
(Please ensure candidate's relevant experience is listed with appropriate supporting documentation)
• 1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria
• 2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms.
• 2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.
• 1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.
• 1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.
• 1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.
• 1 year of hands-on experience integrating AI capabilities with Azure and AWS.
Preferred Skills
• Background in a variety of programming languages and principals.
• Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.
• Experience with data tools and techniques for storing, retrieving, and cleaning data.
Required Education:
Undergraduate degree in computer science, data science, artificial intelligence or related field required; advanced degree preferred.
OTHER SKILLS/DUTIES:
• Strong communication and knowledge-transfer skills.
• Advanced report writing ability.
• Excellent communication skills and relevant public speaking.
• Experience working on complex projects.

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