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Remote Data Science Music Jobs in Toronto, ON (NOW HIRING)

Mercor

Enterprise Data Science Specialist

Toronto, ON · Remote

CA$60 - CA$70/hr

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts. * Build analytics ...

Mercor

Data Science Expert - AI Evaluation

Toronto, ON · Remote

CA$120 - CA$170/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

Epistemix

Data Scientist

Toronto, ON · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

Qfin

Senior Data Scientist

Toronto, ON · On-site +1

Role Overview As a Senior Credit Risk Modeling - Data Science, you will be an individual ... Flexible work model (hybrid/remote options). * Learning budget, health benefits, and team culture ...

Tiny Health

Microbiome Data Scientist

Toronto, ON · Remote

You'll work closely with microbiome experts and report to the Head of Science to take on data ... Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am-6pm CST ...

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All JobsData Science Music JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Toronto, ON

Remote Data Science Music information

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 the most commonly searched types of Data Science Music jobs in Toronto, ON?

The most popular types of Data Science Music jobs in Toronto, ON are:

What are popular job titles related to Remote Data Science Music jobs in Toronto, ON?

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

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

The top searched job categories for Remote Data Science Music jobs in Toronto, ON are:

Remote Data Science Music jobs near you

Enterprise Data Science Specialist

Toronto, ON • Remote

Mercor
See more jobs at Mercorexternal

CA$60 - CA$70/hr

Full-time

Posted 16 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science and Analytics Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
  • Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
  • Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
  • Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
  • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.

Qualifications

Must-Have

  • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
  • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
  • Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.

Preferred

  • Prior rubric, technical curriculum, or model documentation authorship.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.