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Remote Data Science Music Jobs in Michigan (NOW HIRING)

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity * Run a lightweight but effective ...

Deloitte

GCP Manager

Detroit, MI · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)

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All JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Michigan

Remote Data Science Music information

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 the most commonly searched types of Data Science Music jobs in Michigan? The most popular types of Data Science Music jobs in Michigan are:
What are popular job titles related to Remote Data Science Music jobs in Michigan? For Remote Data Science Music jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Music jobs in Michigan look for? The top searched job categories for Remote Data Science Music jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Science Music jobs? Cities in Michigan with the most Remote Data Science Music job openings:
Remote Data Science Music jobs near you
Infographic showing various Remote Data Science Music job openings in Michigan as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.

Senior Customer Success Manager

Careers at Level Data | Level Data

Kalamazoo, MI • Remote

Full-time

Posted 21 days ago

Job description

LevelData Career Opportunity: Senior Customer Success Manager, State Implementations

Are you passionate about education and data quality? Do you thrive in a collaborative environment where your impact directly influences educational success? If so, LevelData invites you to join our team as a Senior Customer Success Manager. We're on a mission to empower states with trustworthy data, allowing educational leaders to focus on what truly matters: their learners.

About Us: At LevelData, we believe that clean, reliable data is the foundation of effective decision-making in K-12 education. Our simple solutions ensure that states receive data they can trust, enabling educators to make informed choices. We're committed to quality, trust, and collaboration, and we're looking for a like-minded individual to join our dynamic team.

Role Overview: As a Senior Customer Success Manager of State Implementations, you'll play a pivotal role in project managing and driving data excellence. Here's what we're seeking:

GRR and NRR Impact: You're adept at delivering Gross Retention Rate (GRR) and Net Revenue Retention (NRR) impact within a growing organization. Your ability to retain and expand relationships with clients is crucial.

Results in State DOE or Large-Scale Environment: You've demonstrated measurable results in a State Department of Education (DOE) or similar large-scale setting. Your experience navigating complex data landscapes sets you apart.

SaaS Implementation Leadership: You're no stranger to leading complex implementations in a Software as a Service (SaaS) company. Your technical acumen and project management skills ensure successful rollouts.

Qualifications:

  • Bachelor's degree in a relevant field (Education, Data Science, Business, etc.)
  • Proven track record of achieving GRR and NRR targets
  • Experience working with state-level education systems or large-scale data environments
  • Familiarity with SaaS implementation processes

Why Join LevelData?

  • Meaningful Impact: Your work directly influences education outcomes.
  • Collaborative Culture: We value teamwork, transparency, and shared success.
  • Professional Growth: Opportunities to learn, lead, and make a difference.
  • Flexible Work Environment: Embrace remote work, with occasion travel.

If you're ready to contribute to a culture of trust, collaboration, and results, apply today! Let's empower educational leaders together.


All positions are subject to background evaluations and a pre-employment drug screening.

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