ZipRecruiter

Log In

2

Remote Data Science Music Jobs in Baltimore, MD (NOW HIRING)

Graham Technologies

Data Engineer

Upper Marlboro, MD · Remote

$117K - $140K/yr

... scale scientific or federal data environments. Location: Remote Key Responsibilities: * Collaborate with customer data practitioners and IT staff to develop cloud infrastructure requirements

NinjaOne

Data Software Engineer

Baltimore, MD · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

NinjaOne

Data Software Engineer

Baltimore, MD · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Digital Harbor Foundation

Data Analyst

Baltimore, MD · On-site +1

Bachelor's or Master's degree in data science, computer science, economics, or similar field ... Additional Notes This position is fully remote with occasional travel required for in-person ...

Digital Harbor Foundation

Data Analyst

Baltimore, MD · Remote

$70K/yr

Bachelor's or Master's degree in data science, computer science, economics, or similar field ... Additional Notes This position is fully remote with occasional travel required for in-person ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

next page

Showing results 1-20

All JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Baltimore, MD

Remote Data Science Music information

See Baltimore, MD salary details

$41.2K

$141.6K

$199.7K

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

As of Jun 27, 2026, the average yearly pay for remote data science music in Baltimore, MD is $141,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $165,400.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

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.

Is 30 too late for data science?

Remote data science roles are accessible at any age, including at 30, as the field values skills like programming, statistics, and machine learning. Many professionals transition into data science later in their careers, and continuous learning through online courses and certifications can help build relevant expertise regardless of age.

Can data science jobs be done remotely?

Data science jobs, including roles in remote data science music, are often performed remotely as they primarily involve analyzing data, coding, and using tools like Python or R. Many companies offer remote positions for data scientists, especially with skills in cloud computing and collaboration platforms, making remote work a common option in the field.

How much does a Sony music data analyst make?

A data analyst working in the music industry, such as at Sony Music, typically earns between $60,000 and $90,000 annually, depending on experience, location, and skill level. Proficiency in data analysis tools like SQL, Python, or R, and understanding of music industry metrics, can influence salary levels.
What are popular job titles related to Remote Data Science Music jobs in Baltimore, MD? For Remote Data Science Music jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Music jobs in Baltimore, MD look for? The top searched job categories for Remote Data Science Music jobs in Baltimore, MD are:
Remote Data Science Music jobs near you
Data Scientist ID71658

Data Scientist ID71658

AgileEngine

Baltimore, MD • On-site

Full-time

Posted 10 days ago

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

Apply