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Intern Data Science Music Jobs in Georgia (NOW HIRING)

Partner in development of scalable solutions using large datasets with other data scientists on the team. * Integrate diverse data sources, data types and data structures into an innovative ...

Impiricus Intern

Atlanta, GA · On-site +1

$25/hr

Intern Location: Atlanta, GA, New York, NY, or Remote Who We Are Impiricus is the first and only AI ... Any major considered; coursework or interest in Business, Marketing, Data Science, Computer Science ...

IT Intern - AI & Automation

Atlanta, GA · On-site

$14.25 - $19/hr

The AI & Automation Intern will support internal AI pilot programs and automation initiatives by ... Engineering, Data Science, or a related field. * Strong interest in software development ...

Showing results 21-40

Intern Data Science Music information

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 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 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 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 most commonly searched types of Data Science Music jobs in Georgia?

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

What are popular job titles related to Intern Data Science Music jobs in Georgia?

For Intern Data Science Music jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Intern Data Science Music jobs?

Cities in Georgia with the most Intern Data Science Music job openings:

    Summer 2027 Internship - RWE Data Scientist - Virtual

    Stryker

    Kennesaw, GA • On-site

    $35/hr

    Other

    Posted yesterday

    New


    Stryker rating

    8.2

    Company rating: 8.2 out of 10

    Based on 112 frontline employees who took The Breakroom Quiz

    133rd of 496 rated machine equipment manufacturers


    Job description

    What You Get Out of the Internship

    At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

    • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
    • Implement new ideas, be constantly challenged, and develop your skills
    • Network with key/high-level stakeholders and leaders of the business
    • Be a part of an innovative team and culture
    • Experience documenting complex processes and presenting them in a clear format

    Who We Want

    Challengers. People who seek out the hard projects and work to find just the right solutions.

    Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

    Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

    Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

    Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

    Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

    Opportunities Available

    As a Real-World Evidence Data Science intern at Stryker, you will:

    • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
    • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
    • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
    • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
    • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
    • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

    What You Need

    Required:

    • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
    • Cumulative 3.0 GPA or above (verified at time of hire)
    • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
    • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
    • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
    • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
    • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
    • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

    Preferred:

    • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
    • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
    • Experience with NLP applied to unstructured healthcare text
    • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

    $20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

    Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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