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Data Science Music Jobs in Ohio (NOW HIRING)

They are seeking a Database Engineer II to design, implement, and maintain scalable data solutions ... Required : • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent ...

They are seeking a Database Engineer II to design, implement, and maintain scalable data solutions ... Required : • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent ...

Reads and interprets work instructions, specification sheets, or prints and applies data to work ... During the warmer months, Columbus hosts food and music festivals, organizes art walks, and ...

LPN - Med/Surg

Columbus, OH · On-site

$24 - $32.75/hr

From green space and art to science and so much more, you'll be impressed with the abundant ... In the warmer months, you'll find festivals of all kinds, from food trucks to music. Throughout the ...

From green space and art to science and so much more, you'll be impressed with the abundant ... In the warmer months, you'll find festivals of all kinds, from food trucks to music. Throughout the ...

Project Architect

Cleveland, OH

$80K - $107K/yr

... scientists, digital innovators, program and construction managers and other professionals ... Columbus Symphony Orchestra Center of Music Innovation & Education. The responsibilities of this ...

From green space and art to science and so much more, you'll be impressed with the abundant ... In the warmer months, you'll find festivals of all kinds, from food trucks to music. Throughout the ...

Pilates professionals and fitness instructors who enjoy working with music Key Focus: Full-body ... Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ...

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Data Science Music information

See Ohio salary details

$16K

$98K

$186.9K

How much do data science music jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science music in Ohio is $97,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,706.00 and $140,774.00 per year, depending on experience, location, and employer.

What is a Data Science Music job?

A Data Science Music job involves applying data analysis, machine learning, and statistical techniques to the music industry. Professionals in this field work with streaming data, listener preferences, audio analysis, and recommendation systems to enhance user experiences and optimize business strategies. They may collaborate with music platforms, record labels, or artists to analyze trends, predict hits, and improve content discovery. This role requires proficiency in programming, data visualization, and a deep understanding of both music and data science.

What are the key skills and qualifications needed to thrive in the Data Science Music position, and why are they important?

To thrive in Data Science Music, you need a strong background in statistics, machine learning, and audio signal processing, typically supported by a relevant degree in data science, computer science, or music technology. Familiarity with tools such as Python, R, TensorFlow, and specialized audio analysis libraries (like librosa), as well as experience with music databases and recommendation systems, is essential. Creativity, problem-solving skills, and effective collaboration are valuable soft skills in this interdisciplinary field. These skills are crucial for building data-driven solutions that enhance music analysis, recommendation, and production in the rapidly evolving music industry.

What types of projects do Data Science Music professionals typically work on within a music technology company?

Data Science Music professionals commonly tackle projects such as developing music recommendation algorithms, analyzing trends in streaming data, building audio classification systems, and optimizing playlist curation tools. They may also work on tasks like genre or mood detection, user personalization features, and even acoustic fingerprinting for copyright protection. Collaboration is frequent, often working closely with software engineers, product managers, and musicologists to bring these solutions to life. These projects contribute directly to improving user experience and innovation in digital music platforms, offering a dynamic and intellectually stimulating work environment.

What are the most commonly searched types of Data Science Music jobs in Ohio? The most popular types of Data Science Music jobs in Ohio are:
What are popular job titles related to Data Science Music jobs in Ohio? For Data Science Music jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science Music jobs in Ohio look for? The top searched job categories for Data Science Music jobs in Ohio are:
Infographic showing various Data Science Music job openings in Ohio as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $97,972 per year, or $47.1 per hour.
Database Engineer II

Database Engineer II

AXS

Cleveland, OH • On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
AXS is a company that connects fans with the artists and teams they love, selling millions of tickets to various events each year. They are seeking a Database Engineer II to design, implement, and maintain scalable data solutions, collaborating with teams to optimize databases and ensure performance and security.
Responsibilities:
• Design, implement, and maintain relational and NoSQL databases (Oracle, SQL Server, PostgreSQL, Aurora, MongoDB, etc.).
• Integrate database deployments into CI/CD pipelines to enable automated schema migrations, rollback, and testing.
• Develop and manage infrastructure as code (IaC) for database provisioning (Terraform, CloudFormation, Ansible).
• Implement monitoring, alerting, and logging solutions to ensure database performance, health, and security.
• Optimize database queries, indexes, and execution plans to improve performance and reduce costs.
• Manage high availability, replication, backup, and disaster recovery strategies.
• Collaborate with developers, SREs, and DevOps engineers to ensure smooth and secure application-to-database integration.
• Enforce security best practices, including encryption, key management (AWS KMS/CMK), access control, and compliance with data regulations.
• Automate routine operational tasks to improve efficiency and reduce manual intervention.
• Troubleshoot complex production issues and drive root cause analysis.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of experience as a Database Engineer / DBA with at least 3+ years in a DevOps/Cloud environment.
• Proficiency with PostgreSQL, Oracle, SQL Server, Aurora (at least one deeply, others working knowledge).
• Experience with CI/CD tools (Liqbase, GitHub Actions, Azure DevOps, etc.).
• Hands-on experience with IaC (Terraform, CloudFormation).
• Expertise in cloud platforms (AWS preferred, Azure/GCP a plus).
• Solid understanding of database security, encryption, and auditing.
• Solid understand on Kafka cluster.
• Strong troubleshooting and performance tuning skills
Company:
AXS is a company whose core values reflect a culture that celebrates individual differences and respect of one another. It is a sub-organization of AEG. Founded in 2010, the company is headquartered in Los Angeles, USA, with a team of 201-500 employees. The company is currently Growth Stage.