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Remote Data Science Music Jobs in Cleveland, OH (NOW HIRING)

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Data Architect

Cleveland, OH · On-site +1

$61.75 - $79.50/hr

... science to accelerate value, delivery and outcomes for the business. The Data Architect will ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field (preferred) * 3-5 years of hands‑on experience in a data engineering role * Strong SQL skills and a solid ...

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

You will bridge the gap between experimental data science prototypes and production-grade software ... Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid #LI-Onsite By submitting your ...

Position is currently remote but may work at or visit a facility based on business need. This ... You have a bachelor's degree in a quantitative discipline such as Computer Science or another ...

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Remote Data Science Music information

See Cleveland, OH salary details

$40.2K

$138.2K

$194.9K

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

As of Sep 6, 2026, the average yearly pay for remote data science music in Cleveland, OH is $138,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $161,500.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a remote data science music professional?

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.

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 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 are popular job titles related to Remote Data Science Music jobs in Cleveland, OH?

For Remote Data Science Music jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Music jobs in Cleveland, OH look for?

The top searched job categories for Remote Data Science Music jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Remote Data Science Music jobs?

Cities near Cleveland, OH with the most Remote Data Science Music job openings:

Infographic showing various Remote Data Science Music job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $138,162 per year, or $66.4 per hour.

Data Science Analyst

Quadax, Inc.

Middleburg Heights, OH • On-site, Remote

Full-time

Posted 8 days ago


Key responsibilities

  • Analyze complex data sets and create actionable insights.

  • Prepare and analyze data through locating, profiling, cleansing, extracting, transforming, validating, or modeling.

  • Design and develop AI/ML solutions using Azure AI services, including building and deploying machine learning models.


Quadax rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

165th of 247 rated software companies


Job description

 

Summary:

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.

Responsibilities:

  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Design and develop AI/ML solutions using Azure AI services.
  • Build and optimize document intelligence solutions using OCR, LLMs, and hybrid approaches.
  • Support the creation and maintenance of project documentation
  • Develop, train, and deploy machine learning models for production workloads.

Qualifications:

  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working as an IT Data Analyst or in Data Science
  • Strong Python programming skills and experience with common ML frameworks (scikit-learn, XGBoost)
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Experience with Microsoft Azure, including Azure AI/AI Foundry and related AI services
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

What Quadax employees say

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