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Internship Nba Computer Science Jobs in Minnesota

Danaher

Digital Analyst Internships

Minneapolis, MN · On-site

$102K - $121K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Duluth, MN · On-site

$109K - $129K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Saint Cloud, MN · On-site

$97K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Plymouth, MN · On-site

$102K - $121K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Rochester, MN · On-site

$96K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field; advanced degree, relevant internship experience, or equivalent hands-on industry experience ...

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Internship Nba Computer Science information

What NBA player studied computer science?

One NBA player who studied computer science is Chris Bosh, who earned a degree in the field from Georgia Tech. Some players pursue degrees in computer science or related fields to prepare for careers beyond basketball or to develop skills in technology and data analysis.

What types of projects can I expect to work on during an NBA Computer Science internship?

As an NBA Computer Science intern, you'll typically be involved in projects that support data analysis, software development, or technology integration for basketball operations, fan engagement, or business analytics. You may collaborate with data scientists, software engineers, and business analysts to develop tools, analyze large datasets, or improve internal systems. The NBA values innovation, so you might also work on pilot programs using emerging technologies. This collaborative environment provides valuable exposure to real-world applications of computer science in the sports industry.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but competitive programs often include those at major tech companies, research labs, or startups that offer hands-on experience with coding, software development, and project collaboration. Relevant skills such as programming languages, data structures, and teamwork are important, and internships that provide mentorship and real-world projects are highly valuable for career development.

How much do NBA interns get paid?

NBA interns typically receive stipends that can range from around $15 to $20 per hour, depending on the role and location. Compensation may also include other benefits such as networking opportunities and exposure to professional sports environments, with schedules often requiring full-time commitment during the internship period.

What is an NBA Computer Science internship?

An NBA Computer Science internship is a temporary position offered by the National Basketball Association (NBA) or its affiliated teams and organizations to students or recent graduates pursuing a degree in computer science or a related field. Interns typically work on projects involving software development, data analysis, and technology solutions that support basketball operations, fan engagement, or business analytics. These internships provide hands-on experience in applying computer science skills to real-world sports industry challenges and may involve working with big data, machine learning, or developing digital products. Interns often collaborate with professionals in IT, analytics, and basketball operations, gaining valuable insights and networking opportunities within the sports and technology sectors.

What is the difference between Internship Nba Computer Science vs Data Analyst?

AspectInternship Nba Computer ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentSports industry, tech teams, NBA officesVarious industries, corporate offices, data teams
Employer & Industry UsageNBA teams, sports tech companiesBusinesses across sectors like finance, marketing, sports
Common Search & ComparisonInternship opportunities, sports tech rolesData analysis roles, business intelligence

Internship Nba Computer Science focuses on gaining experience in sports tech and programming within the NBA environment, often requiring basic coding skills and a passion for sports. Data Analysts analyze data to inform business decisions across industries. While both roles involve data and technical skills, internships are entry-level and industry-specific, whereas Data Analysts work across various sectors with more specialized data analysis expertise.

How to get an internship with the NBA?

To secure an internship with the NBA, candidates should have a strong background in computer science, programming skills, and familiarity with data analysis tools. Applying through the NBA's official careers website, networking within the sports industry, and gaining relevant experience or certifications can improve chances. Internships typically require a current student status and a demonstrated interest in sports technology or analytics.
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Internship Nba Computer Science jobs near you
AI/ML Intern - Radiation Oncology

AI/ML Intern - Radiation Oncology

Mayo Clinic

Rochester, MN

$14.75 - $19/hr

Part-time

Posted 13 days ago

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

105th of 880 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.

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.
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.

*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.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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