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Intern Data Science Music Jobs in Rye, NY (NOW HIRING)

Carnegie Hall

Intern, Marketing

New York, NY · On-site

$20/hr

Complementing its performance activities, Carnegie Hall's Weill Music Institute creates extensive ... . * Assist with data integrity and list management; conduct outbound phone calls to confirm ...

CVS Health

Sr. Data Scientist - PBM Analytics

New York, NY

$101K - $222K/yr

Within the data science department ("Analytics & Behavior Change"), you'll have the opportunity to ... Mentor peers and lead intern projects. Required Qualifications * 3+ years of hands-on experience in ...

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KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

Role Overview We are looking for a curious and motivated Data & Systems Developer Intern to join ... Currently enrolled in a Bachelor's or Master's program in Computer Science, Information Systems ...

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All JobsIntern Data Science Music JobsIntern Data Science Music Jobs in Rye, NY

Intern Data Science Music information

See Rye, NY salary details

$12

$23

$44

How much do intern data science music jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for intern data science music in Rye, NY is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.96 per hour, depending on experience, location, and employer.

What types of projects can an Intern Data Science Music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

What are the key skills and qualifications needed to thrive as an Intern in Data Science for Music, and why are they important?

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What does an Intern Data Science Music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.
What job categories do people searching Intern Data Science Music jobs in Rye, NY look for? The top searched job categories for Intern Data Science Music jobs in Rye, NY are:
What cities near Rye, NY are hiring for Intern Data Science Music jobs? Cities near Rye, NY with the most Intern Data Science Music job openings:
Intern Data Science Music jobs near you
Ridership Analysis & Modeling, Emerging Talent Intern (Fall)

Ridership Analysis & Modeling, Emerging Talent Intern (Fall)

Metropolitan Transportation Authority

New York, NY • On-site

$21/hr

Internship

Posted 23 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

39th of 76 rated public transport

Job description

Description
Position at MABSTOA
Department: Operations Planning
Location: 2 Broadway, New York, NY 10004
Position Title: Ridership Analysis & Modeling, Emerging Talent Intern
Hourly Rate: $21.00 (Graduate)
All internship positions are onsite and require regular, in-person attendance at the designated work location.
OVERVIEW OF DEPARTMENT:
Ridership Analysis & Modeling (RAM) serves as an internal consultant to NYCT on all aspects of ridership patterns, passenger movement, and short- and long-term trends across subway and bus systems. The RAM group develops and improves models and tools used to estimate statistics and forecast rider behavior during normal operations and in cases of planned work, to improve schedule accuracy and better target customer information. RAM works cross-functionally across the agency to extract narratives from massive amounts of data, both directly observed and estimated.
The selected candidate will help support; RAM GIS projects will maintain and enhance bus network datasets while developing new analytical tools to support transit planning and federal reporting. Key work includes updating the DOT Bus Lane Segments shapefile and the Bus Route LION Matching GIS data. The updated GIS data will replace and modernize the current fixed guideway federal reporting process. Integrating the updated GIS data with existing bus speed sources will also allow teams to easily calculate and predict bus running times for any corridor or proposed route. Additional initiatives include backend development for the OP ArcGIS Online Portal and its integration with the Data Lake.
RESPONSIBILITIES:
  • Update and maintain GIS datasets, including the Bus Lane Segments shapefile and Bus Route LION Matching data, ensuring accuracy and consistency across systems.
  • Perform spatial data validation, cleaning, and quality assurance to support reliable transit planning and federal reporting outputs.
  • Assist in integrating GIS datasets with bus speed and operational data to support analysis of corridor performance and running time estimation.
  • Develop and refine geospatial analysis tools and workflows to improve efficiency.
  • Support the modernization of fixed guideway reporting processes by contributing to updated GIS-based reporting frameworks.
  • Assist in backend development and data structuring for the OP ArcGIS Online Portal, improving accessibility and usability for internal teams.
  • Document data processes, methodologies, and updates to ensure transparency, reproducibility, and long-term maintainability of GIS resources.
  • Collaborate with cross-functional teams, including Operations Planning and Data & Analytics, to align datasets and analytical outputs.

PROJECTS:
The intern will assist the Ridership Analysis Modelling in the course of its work, as described above. Expected deliverables will include:
  • Bus Route and Lion Street Network Matching/Bus Lane Inventory Maintenance.
  • Bus Lane Ridership and Speed Report/Dashboard.
  • OP ArcGIS Online Portal and its integration with the Data Lake.

REQUIRED QUALIFICATIONS:
  • Proficiency in Microsoft Office Suite is a must.
  • The candidate should possess organizational, analytical and communication skills.
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.

REQUIRED EDUCATION:
  • Matriculated in a graduate program in good standing with at least 2.8 GPA
  • Major(s) Preferred: City & Regional Planning, Civil Engineering, Transportation Engineering, Urban Studies, Public Policy, Public Affairs, Computer Science, Data Science, or related field.

All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted.
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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