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Remote Data Science Music Jobs in Virginia (NOW HIRING)

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Remote | Falls Church, VA | Arlington, VA | DC Metro Clearance: Active DoD Secret (or ability to ... Implement core data science capabilities, such as entity resolution, classification, clustering, or ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

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Remote Data Science Music information

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.

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 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 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 Virginia? The most popular types of Data Science Music jobs in Virginia are:
What job categories do people searching Remote Data Science Music jobs in Virginia look for? The top searched job categories for Remote Data Science Music jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Science Music jobs? Cities in Virginia with the most Remote Data Science Music job openings:
Data Science Manager

Data Science Manager

Maximus

On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

General information
Job Posting Title
Data Science Manager
Date
Tuesday, May 12, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is seeking a Data Science Manager to support the Indiana Eligibility Control Center, helping drive data-informed decision-making across the program.
Maximus has supported the Indiana Health Coverage Programs (IHCP) as the state's enrollment broker since 2007. In this role, Maximus helps eligible Indiana residents understand their health coverage options, provides guidance on selecting a managed care health plan, and assigns health plans for members who do not make a selection.
The program is centered on delivering unbiased, member-focused support, ensuring individuals receive clear, accurate information to make informed decisions that best meet their healthcare needs.
This is a remote role.
Essential Duties and Responsibilities:
- Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.
- Compile and evaluate data to improve operations process or quality.
- Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.
- Establish a vision for productization of data science artifacts and delivering Data Science as a Service.
- Work with reporting and business analyst to interpret/translate various datasets to tell a story to business partners and senior leadership team.
- Assist in compiling, creating, and managing reporting.
- Drive team alignment with key objectives that align with organizational and project goals.
- Collect, arrange, and inspect data using various tools to create required reports.
- Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.
- Collect, analyze, and interpret data into actionable opportunities for improvement.
- Identify appropriate decision technology techniques to apply to relevant analytic frameworks.
- Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.
- Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.
- Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.
- Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.
- Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.
- Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.
- Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
Minimum Requirements
- Bachelor's Degree in related field.
- 5-7 years of relevant professional experience required.
- Leadership skills with formal training and/or prior experience.
- Programming Languages: SQL, Python, R.
- Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.
- Experience with big data, including structured, semi-structured, and unstructured data.
- Experience with machine learning, specifically in the domain of natural language processing (NLP).
- 2-4 years of leadership skills with formal training and/or prior experience
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
120,000.00
Maximum Salary
$
135,000.00

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