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Remote Data Science Music Jobs in Baton Rouge, LA

Data Systems Engineer

Baton Rouge, LA · On-site +1

$109K - $132K/yr

This role offers a collaborative work environment with opportunities for both in-office and remote ... Science, or a related field, or equivalent relevant experience 5+ years of experience writing ...

Scrum Master

Baton Rouge, LA · Remote

$65 - $70/hr

This is a remote position. Scrum Master Project Identifier LA OTS Client STATE OF LOUISIANA ... Education · Bachelor's degree in Computer Science, Computer Engineering, Data Science, Management ...

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Remote Data Science Music information

See Baton Rouge, LA salary details

$39.9K

$136.8K

$193K

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

As of Sep 14, 2026, the average yearly pay for remote data science music in Baton Rouge, LA is $136,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $159,900.00 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 Baton Rouge, LA?

For Remote Data Science Music jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Music jobs in Baton Rouge, LA look for?

The top searched job categories for Remote Data Science Music jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Remote Data Science Music jobs?

Cities near Baton Rouge, LA with the most Remote Data Science Music job openings:

Data Systems Engineer

Baton Rouge, LA • On-site, Remote

$109K - $132K/yr

Full-time

Posted 20 days ago


Job description

Position Summary
We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.
The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.
 
Key Responsibilities

Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
Build and maintain data pipelines and ETL/ELT processes
Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
Deliver project objectives on time, within scope, and with a high level of quality
Contribute to data governance, standards, and best practices

 
Experience & Education

Bachelor’s degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
5+ years of experience writing complex SQL queries and working with data models
2+ years of experience developing and maintaining ETL/ELT processes
Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions

 
Technical Skills & Tools

Microsoft Fabric, Azure Data Services, Databricks
Power BI and Power Platform
Python
DAX
Microsoft Dynamics D365 (preferred)
Azure DevOps (or similar CI/CD tools)
Git version control
Advanced SQL (T-SQL)
Excel (advanced data manipulation)
Development tools such as VS Code and SQL Server Management Studio

 
Core Competencies

Ability to manage multiple concurrent projects and priorities in a fast-paced environment
Strong problem-solving and analytical skills
Excellent communication skills with the ability to translate technical concepts for business stakeholders
High attention to detail and commitment to data quality

 
Additional Requirements

Ability to travel as needed
Valid driver’s license with a clear driving record
Successful completion of background check and drug/alcohol screening