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Intern Data Science Music Jobs in Minnesota (NOW HIRING)

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... Interns will learn the data science lifecycle including data acquisition, transformation, data ...

AI/ML Intern - Radiation Oncology

Rochester, MN

$15.25 - $19.75/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... Interns will learn the data science lifecycle including data acquisition, transformation, data ...

$15.75 - $21/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$15 - $19.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$15.75 - $21/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$15.25 - $20.25/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

$14.75 - $19.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Intern Data Science Music information

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 Minnesota? The most popular types of Data Science Music jobs in Minnesota are:
What cities in Minnesota are hiring for Intern Data Science Music jobs? Cities in Minnesota with the most Intern Data Science Music job openings:
AI/ML Intern - Radiation Oncology

AI/ML Intern - Radiation Oncology

Mayo Clinic

Rochester, MN • On-site

Part-time

Posted 2 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 692 frontline employees who took The Breakroom Quiz

104th of 890 rated healthcare providers


Job description


Interns will utilize statistics and computer science to solve complex problems in healthcare. Problem areas include: diagnostic analytics such as image analysis, signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors, personalization - including sentiment, interests and affinities modeling, and process improvement (e.g. making sure patients are referred to the care teams they need). The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, feature engineering, algorithm development, and algorithm deployment into a relevant clinical and/or business context. Interns are expected to help formulate analytical questions, perform hypothesis testing, algorithm optimization, algorithm deployment, and integrate feedback rapidly from stakeholders. Candidate needs to have an open mind and ability to take concepts developed by other industries and apply them to healthcare. Candidates should be effective communicators and good team players. Candidates who have coursework, projects, and evidence of interest in data science (e.g. participating in Kaggle competitions) but lack industry experience are ideal for this position.
Qualifications
*Must reside within the continental US. This vacancy is not eligible for sponsorship/we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
Current enrollment or recent graduate of undergrad or grad program in: Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or other related field with strong quantitative analytical skills. School or project experience in applying data science approaches/tools. Proven written and oral communication skills are essential.AI experience/exposure or familiarity with AI principles is required. Courses and comfort level with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for success. Experience with major programming languages is beneficial. Demonstrated initiative/innovation in coursework and projects.
Experience with data science development tools building algorithms on structured data is preferred. Experience working with unstructured data such as natural language, images, genetics, or signal processing (e.g. EKG) is preferred. Experience with C/C++/Java or other systems programming languages and software engineering methodology is not required but beneficial. Candidates with exceptional web-stack data visualization (Angular/D3) experience will also be considered.
About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919