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Remote Data Science Music Jobs in Tennessee (NOW HIRING)

Research Associate 2

Oak Ridge, TN ยท On-site +1

$35.19 - $48.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

Research Associate 2

Oak Ridge, TN ยท On-site +1

$35.19 - $48.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

Sr. Data Engineer - CX Analytics

Chattanooga, TN ยท Remote

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Work closely with the data scientists and business partners to understand the business problem they ...

Nurse Practitioner: Remote Urgent Care

Nashville, TN ยท Remote

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Nurse Practitioner: Remote Urgent Care

Nashville, TN ยท On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Principal Data Engineer - CX Analytics

Chattanooga, TN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Scientists to support their work. You will help shape how data flows through the team ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Senior Product Manager, Agentic AI

Franklin, TN ยท Remote

$122K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote-USA Position Summary The Product Manager, Agentic AIis responsible fordriving the definition ... Collaborate with Data Engineering and Data Science leads on shared initiatives, including data ...

Director, AI Engineering - Remote

Brentwood, TN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a Full Time, remote Director, AI Engineering role. What You'll Do * Define and lead the ... Manage cross-functional collaboration efforts between data science, engineering, security, and ...

Showing results 41-60

Remote Data Science Music information

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?

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 the most commonly searched types of Data Science Music jobs in Tennessee?

The most popular types of Data Science Music jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Data Science Music jobs?

Cities in Tennessee with the most Remote Data Science Music job openings:

Research Associate 2

ORAU

Oak Ridge, TN โ€ข On-site, Remote

$35.19 - $48.95/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Overview
APPOINTMENT TYPE: Temporary (Part-Time 20 hr./Week)
LOCATION: Remote U.S. Based Locations)
*SALARY RANGE: $35.19 - $48.95/per hour
IMPORTANT NOTE: Please review the job requirements outlined below very carefully and answer all screening questions when submitting your application for this position. There are some very specific, mandatory requirements candidates must complete to be considered for this opportunity. ADDITIONALLY: Applications MUST be submitted through the ORAU career page at https://careers-oraucareers.icims.com/jobs/3803/research-associate-2/job to be considered.
PURPOSE:
The early career research associate will propose and conduct research under the guidance of a self-selected mentor, that leverages National Institute of Health (NIH) Common Fund datasets and resources to address complex biological questions. The research conducted will center on integrative analysis across multiple NIH Common Fund datasets with a focus on developing computational strategies that enable discovery across independently generated data resources. The early career research associate will contribute to the Common Fund Data Ecosystem (CFDE) community through dissemination of findings, development of reproducible workflows, and active engagement in collaborative initiatives offered through the CFDE community, supporting broader efforts to advance biomedical data integration and reuse.
Often early career research associates encounter complex scientific and technical problems that require independent analysis, critical thinking, and consultation with a research mentor and collaborators. Problems are often novel and do not have established solutions.
Example: Integrating heterogeneous datasets from multiple NIH Common Fund programs that differ in data formats, standards, metadata, and quality. These challenges are resolved by developing computational workflows, applying data harmonization techniques, and using appropriate statistical and bioinformatics methods.
Responsibilities
  • Conduct research with a focus on applying computational, bioinformatics, and statistical approaches to address complex biological questions using diverse datatypes including omics (e.g., spatial, multi-omics, single-cell, genomics, transcriptomics, proteomics, metabolomics) and biological entities (e.g., cell, connectivity, tissue, drug, organ).

  • Regular engagement and meetings with selected mentor to ensure guidance on leveraging CFDE data and resources to address complex biological questions, discuss research progress, and alignment with achieving proposed research.

  • Developing publications, conference presentations, reproducible workflows, and other project outputs to the CFDE community and wider research community.

  • Participation in CFDE annual meetings, events, presentations, mentoring opportunities, or other community-facing activities.

  • Other tasks as assigned.

Qualifications
Master's degree and 1-2 years of directly related experience. Ph.D. preferred in Bioinformatics, Biomedical Informatics, Computational Biology, Molecular Biology, Data Science or a closely related field and 0 years of experience. An equivalent combination of education and experience performing duties as described may be substituted for the minimum requirements. *Note: It is REQUIRED that any Ph.D. earned must have been earned within the past 5 years.
Important Application Requirements:
Applicants must submit a research proposal (limited to one page) describing their planned research. Proposals must include:
  • A description of how the research will use data from TWO or more CFDE datasets (https://cfdeknowledge.org/r/kc_landing)
  • Any CFDE resources, tools, or support needed to successfully complete the research
  • A summary of the applicant's prior experience with any omics related data, if any in addition to working with CFDE data (note: prior experience with CFDE data is not required for selection)

NOTE: Proposals and all supporting documentation must be emailed directly to Amy.Loposser@orau.org AND Leah.Hamm@orau.org to be considered.
  • Demonstrated research experience in computational biology, data science, bioinformatics, biomedical informatics, molecular biology, or related field, including analysis of complex biomedical datasets, use or development of reproducible computational workflows, scientific publication and presentation, and collaboration with multidisciplinary research teams. Experience gained through doctoral research, postdoctoral training, or equivalent research experience is acceptable.

  • This position requires a blend of biological expertise, computational skills, and collaborative abilities to advance integrative biomedical research using NIH Common Fund data and resources.
    • Knowledge of computational biology, bioinformatics, data science, molecular biology or a related field, with an understanding of biomedical research and multi-omics data analysis.
    • Demonstrated ability to apply computational, statistical, and analytical methods to integrate and analyze complex biomedical datasets.
    • Proficiency in programming and data analysis tools commonly used in biomedical research (e.g., R, Python, or similar).
    • Strong scientific communication skills, including the ability to prepare publications, presentations, and reproducible research outputs.
    • Ability to work independently under the guidance of a mentor while effectively collaborating with interdisciplinary teams and the broader CFDE community.
    • Strong organizational, critical thinking, and problem-solving skills, with the ability to manage multiple priorities and contribute to collaborative research initiatives.

*The candidate's starting salary will be determined upon hire and ORAU will use salary survey data, internal comparators, and the candidate's qualifications to determine salary.
TOTAL REWARDS:
ORAU has a strategic approach to providing total rewards to employees through a fair, equitable, and competitive total compensation package. The goal of our total rewards system is to integrate compensation, benefits, work-life balance, performance, recognition, development, and career opportunities to attract, engage, and retain the talent required to achieve ORAU's business objectives. The benefit component of our total rewards program supports business goals by offering the following benefits based on employee eligibility:
  • Legally required benefits
  • Group Health insurance including Medical, Prescription, Dental, and Vision
  • Retirement plan contribution matching
  • Disability insurance
  • Group life insurance
  • Travel Accident Insurance
  • Section 125 reimbursement accounts
  • Other voluntary employee-paid benefit and insurance offerings

The ORAU total reward package also promotes work-life balance. Mindful of the need for employees to care for themselves and their families, ORAU offers the following additional work-life benefits based on employee eligibility:
  • Telework
  • Paid Time Off (PTO)
  • Paid Holidays
  • Flexible work schedules or compressed work weeks
  • Occupational Health and Wellness Programs
  • Employee Assistance Program

ORAU logo

About ORAU

Sourced by ZipRecruiter

Industry

Public administration

Company size

501 - 1,000 Employees

Headquarters location

Oak Ridge, TN, US

Year founded

1946