ZipRecruiter

Log In

2

Remote Data Science Music Jobs in Wichita, KS (NOW HIRING)

TSMG

AI/ML Data Contributor

Wichita, KS · 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 ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

Bachelor's degree in Data Science, Business Analytics, Statistics, or related quantitative field ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

City of Wichita, KS

Application Analyst

Wichita, KS · On-site +1

$61K - $108K/yr

Remote Optional Job Number: Application Analyst Department: Information Technology Division: IT ... The role also contributes to process improvement, reporting automation, data integrity, and vendor ...

Stem Xpert

SAP SuccesssFactors

Wichita, KS · Remote

$59.75 - $77.75/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

All JobsData Science Music JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Wichita, KS

Remote Data Science Music information

See Wichita, KS salary details

$37.1K

$127.4K

$179.8K

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 Wichita, KS is $127,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $149,000.00 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 Wichita, KS? For Remote Data Science Music jobs in Wichita, KS, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Music jobs in Wichita, KS look for? The top searched job categories for Remote Data Science Music jobs in Wichita, KS are:
Remote Data Science Music jobs near you

AI/ML Data Contributor

TSMG

Wichita, KS • Remote

Part-time

Re-posted 4 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

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.