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Remote Data Science Music Jobs in Miami, FL (NOW HIRING)

Data Scientist

Miami, FL ยท On-site +1

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Masters degree in data science, computer science, marine biology, or related field, OR Bachelors ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

... data science, machine learning or related quantitative field * 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc)

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics * 6+ years of ...

Head of Data (Remote)

Miami, FL ยท Remote

$15K - $18K/yr

Education : Bachelor's or Master's degree in Data Science, Computer Science, Statistics ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Lead DS- Remote

Miami, FL ยท On-site +1

$90 - $100/hr

Lead Data Scientist - Revenue Optimization & Pricing Location: Remote Compensation: $90-$100 hourly Job Type: Long Term Contract Job Summary We are seeking a Lead Data Scientist to support strategic ...

Head of Data

Miami, FL ยท Remote

$15K - $18K/mo

Education : Bachelor's or Master's degree in Data Science, Computer Science, Statistics ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

Data Platform Engineer

Miami, FL ยท Remote

$117K - $140K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Miami, FL ยท On-site +1

$109K - $131K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Data Team Lead (Remote)

Miami, FL ยท Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Senior Data Team Lead (Remote)

Miami, FL ยท Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

AI/ML Engineer

Miami, FL ยท On-site +1

$120K - $150K/yr

Collaborate with Product Managers, Data Scientists, and Software Engineers. * Maintain technical ... Remote Work Options * Paid Time Off * Learning & Certification Reimbursement * Employee Wellness ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

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Showing results 1-20

Remote Data Science Music information

See Miami, FL salary details

$39.7K

$136.3K

$192.2K

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

As of Jul 28, 2026, the average yearly pay for remote data science music in Miami, FL is $136,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $159,200.00 per year, depending on experience, location, and employer.

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.
What are popular job titles related to Remote Data Science Music jobs in Miami, FL? For Remote Data Science Music jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Remote Data Science Music jobs? Cities near Miami, FL with the most Remote Data Science Music job openings:
Data Scientist

Full-time

Medical, Dental, PTO

Posted 15 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs. This position is contingent upon contract award and available funding.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer