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

MegazoneCloud Global

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...

MegazoneCloud

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science ... from intern to executive. What You Bring (Requirements) * 3-5+ years of professional data ...

Reli Group Inc

Power BI Intern

Geneseo, NY · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Rochester, NY · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Optimax Systems Inc.

2026 Fall Internship

Ontario, NY · On-site

$31K - $72K/yr

Intern applicants are considered for all intern positions, which can vary widely in focus. Demand ... Currently enrolled in optics, engineering, industrial design engineering, materials science ...

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

Intern Data Science Music information

See Rochester, NY salary details

$11

$22

$41

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

As of Jul 19, 2026, the average hourly pay for intern data science music in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 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 are the most commonly searched types of Data Science Music jobs in Rochester, NY? The most popular types of Data Science Music jobs in Rochester, NY are:
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What cities near Rochester, NY are hiring for Intern Data Science Music jobs? Cities near Rochester, NY with the most Intern Data Science Music job openings:
Intern Data Science Music jobs near you

Data Engineer

MegazoneCloud Global

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
MegazoneCloud Global is seeking a Data Engineer to strengthen their data-driven culture. The role involves designing and maintaining data pipelines and infrastructure on AWS, mastering the data ecosystem, and collaborating with cross-functional teams to tackle significant projects.
Responsibilities:
• Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS.
• Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
• Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges.
• Collaborate and multiply: Work as a "force multiplier" within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects.
• Be a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive.
Qualifications:
Required:
• 3-5+ years of professional data engineering experience.
• 2-3+ years of hands-on experience with Python.
• 2-3+ years of hands-on experience with SQL.
• Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
• Solid experience building and managing data solutions on AWS.
• Proven experience in data wrangling and building robust data pipelines.
• A 'builder' mindset, a startup mentality, and a genuine thirst for knowledge.
• Exceptional communication skills and the flexibility to think fast.
• A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Preferred:
• Experience with GenAI, AI/ML frameworks, and MLOps.
• Certifications in Databricks, Snowflake, or AWS.
Company:
MegazoneCloud stands as Asia's leading cloud managed service provider (MSP) and digital transformation catalyst, revolutionizing how enterprises harness cloud technology. Founded in 1998, the company is headquartered in Gwacheon-si, Gyeonggi-do, KR, , with a team of 1001-5000 employees. The company is currently Late Stage.

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