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Amazon Data Science Internship Jobs in Wisconsin

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site +1

Demonstrate acceptance and training of student interns in the department, as directed. Participate ... Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics ...

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site

Demonstrate acceptance and training of student interns in the department, as directed. Participate ... Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics ...

Pwc

Data Engineer - Manager

Milwaukee, WI

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Exact Sciences

Principal Software Engineer

Madison, WI · On-site

$136K - $182K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

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How much do amazon data science internship jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for amazon data science internship in Wisconsin is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 per hour, depending on experience, location, and employer.

How much does Amazon pay to interns?

Amazon Data Science Interns typically receive a competitive hourly wage, which can range from $20 to $40 per hour depending on location and experience. Internships usually last 12 to 16 weeks and may include benefits such as housing stipends or transportation allowances in some locations.

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

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

What is an Amazon Data Science Internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

Does Amazon have data science internships?

Yes, Amazon offers data science internships for students and recent graduates, typically lasting 12 weeks during the summer. These internships provide hands-on experience with large-scale data analysis, machine learning, and cloud tools like AWS, and often require strong programming skills in Python or R.

What types of projects do interns typically work on during an Amazon Data Science Internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.

How much do Amazon data science interns make?

Amazon data science interns typically earn between $30 and $40 per hour, depending on experience and location. Interns often work full-time during the summer and may receive additional benefits such as stipends or housing support.

Is it hard to get an internship at Amazon?

Securing an Amazon Data Science Internship is competitive due to high applicant volume and rigorous selection processes. Candidates typically need strong academic backgrounds, relevant technical skills such as machine learning and data analysis, and demonstrated problem-solving abilities. The application process often includes multiple interviews and technical assessments.
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Amazon Data Science Internship jobs near you
Data Analyst

Data Analyst

Rogers Behavioral Health

Oconomowoc, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Rogers Behavioral Health rating

6.0

Company rating: 6.0 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

746th of 886 rated healthcare providers

Job description

Summary:
The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics.
Job Duties & Responsibilities:
Data Gathering and Reporting:
  • Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets
  • Participate in data management tasks by querying and merging datasets.
  • Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others.

Data Extraction and Utilization:
  • Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process.
  • Support team with data extraction and utilization efforts.
  • Assist with contextualizing data and data flow automation.

Collaboration and Learning:
  • Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making.
  • Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven.

Data Analysis Support:
  • Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis.
  • Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods.

Effective Communication:
  • Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system.

Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills.
  • Be open to change and actively support change.
  • Be open to others' ideas and points of view.
  • Evaluate employees objectively and provide employees with periodic feedback.

Promote department goals as well as the mission of the hospital.
  • Communicate goals to fellow staff members.
  • Maintain department policies and procedures.
  • Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin).
  • Maintain and/or communicate to appropriate party function backlog at a set time.
  • Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed.
  • Demonstrate acceptance and training of student interns in the department, as directed.

Participate in hospital committees, performance improvement team meetings, and team projects, as directed.
  • Demonstrate punctuality and preparedness.
  • Demonstrate effective communication skills.
  • Demonstrate good organizational skills.
  • Contribute in a positive, solution-focused manner.

Conduct self in a professional manner.
  • Demonstrate organizational skills that promote timely response to all inquiries and to task completion.
  • Communicate with all individuals in a positive and professional manner.
  • Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution.
  • Communicate concerns and provide solutions for same.
  • Project a professional image by wearing appropriate, professional attire.
  • Ability to influence departments within Rogers and provide technical guidance.

Additional Job Description:
Requirements/Qualifications
  • Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.).
  • 1-3 years of experience in a data analysis-related role
  • Strong interest in data analysis and a willingness to learn and grow in the field.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.).
  • Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.).
  • Experience querying data using SQL scripting.
  • Experience with Microsoft Fabric is highly preferrred.
  • A desire to build foundational knowledge in advanced analytic/statistical methods.
  • Exceptional written and verbal communication skills.
  • A meticulous and detail-oriented approach.

With a career at Rogers, you can look forward to a Total Rewards package of benefits, including:
  • Health, dental, and vision insurance coverage for you and your family
  • 401(k) retirement plan
  • Employee share program
  • Life/disability insurance
  • Flex spending accounts
  • Tuition reimbursement
  • Health and wellness program
  • Employee assistance program (EAP)

Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health. To link to the Machine-Readable Files, please visit Transparency in Coverage (uhc.com)

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