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Summer Data Science Jobs in Appleton, WI (NOW HIRING)

Summer 2026 In-Person Courses: General Chemistry June 2, 2026 - July 31, 2026 Tuesday & Thursday 5 ... Science outreach and recruitment activities as requested by department/division/college (e.g. high ...

Summer Data Science information

Is 30 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or bootcamps, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

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

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is preferred, candidates with strong analytical skills, relevant coursework, or certifications can sometimes qualify for internships or junior roles to gain practical experience.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work at large tech companies or in high-cost-of-living areas. Senior roles, specialized expertise, and leadership positions are more likely to reach this salary level.
What are the most commonly searched types of Data Science jobs in Appleton, WI? The most popular types of Data Science jobs in Appleton, WI are:
What are popular job titles related to Summer Data Science jobs in Appleton, WI? For Summer Data Science jobs in Appleton, WI, the most frequently searched job titles are:
What cities near Appleton, WI are hiring for Summer Data Science jobs? Cities near Appleton, WI with the most Summer Data Science job openings:
Food Safety & Quality Intern - Green Bay, WI - Year Round

Food Safety & Quality Intern - Green Bay, WI - Year Round

Schreiber Foods, Inc.

Green Bay, WI • Hybrid

Part-time

Retirement

Re-posted 3 days ago


Schreiber Foods rating

8.2

Company rating: 8.2 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

59th of 391 rated food and drinks producers


Job description

Job Category:Temporary/OtherJob Family:InternJob Description:

This Food Safety & Quality Internship will be focused on supporting food safety and quality initiatives, and company objectives. It is designed to prepare successful interns for a possible future career with Schreiber Foods.

This internship is a year-round position and offers a flexible hybrid work schedule (Monday-Friday) located at our Home Office in Green Bay, Wisconsin. The hybrid work schedule is 3 days/week onsite at Home Office and 2 days/week from home. You must have availability to work approximately 15 to 20 hours a week during the semester, and 40 hours a week during summer and winter breaks.

What you'll do:

  • Coordinate new ingredient and supplier onboarding tasks
  • Gather ingredient and supplier information by referencing databases and systems
  • Review audits and supplier reports
  • Create documents and reports such as supplier KPI's
  • Input and analyze data
  • Assist quality teams on ongoing projects

What you will need to succeed:

  • Currently pursuing a Bachelor's or Master's degree in Food Science, Dairy Science, Data Sciences, Food Safety and Quality or a science related field.
  • A graduation date of May 2028 or later
  • Availability to work approximately 15 to 20 hours a week during the semester, and 40 hours a week during summer and winter breaks
  • Effective oral and written communication skills
  • Ability to work independently as well as in a team environment
  • Ability to take ownership of assignments and complete them
  • Desire to grow and take on new challenges and opportunities
  • Ability to multi-task
  • Reliable transportation
  • Thorough knowledge of administrative procedures and computer systems such as word processing, managing files and records, Excel, Power Point, Documentum, and Microsoft Outlook
Internship benefits:
  • Opportunity to complete real-world projects, participate in team meetings and contribute your ideas
  • Exposure to different areas of the business around the world
  • Internship program that includes engaging events and opportunities to build relationships at all levels
  • Relocation assistance (for eligible internships)
  • Rewards program for referring others
  • Eight free counseling sessions through our Employee Assistance Program
  • Company-provided retirement contributions per year through our 401(k) plan and Employee Stock Ownership Plan
  • Volunteer opportunities to give back to the community
  • Discounts on our products and more

For positions that require any amount of travel: Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required.

Schreiber requires that an employee have authorization to work in the country in which the role is based. In the event, an applicant does not have current work authorization, Schreiber will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship.

An Equal Opportunity Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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