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Data Science New Grad Jobs in Wisconsin (NOW HIRING)

3M HEALTHCARE

WI · On-site

... high-quality data science solutions. This role provides critical feedback on translating ... Oversees recruitment, hiring, and onboarding of new team members. * Conducts regular performance ...

Stryker

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Stryker

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Stryker

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Stryker

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are popular job titles related to Data Science New Grad jobs in Wisconsin?

For Data Science New Grad jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science New Grad jobs in Wisconsin look for?

The top searched job categories for Data Science New Grad jobs in Wisconsin are:

Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Assistant Professor, Data Science and Statistics

Appleton, WI • On-site

Statistics Interest Group
See more jobs at Statistics Interest Groupexternal

Other

Posted 14 days ago

Job description

Lawrence University – Assistant Professor, Data Science and Statistics Company Name Lawrence University Position Title Assistant Professor, Data Science and Statistics Company Information

Lawrence University of Wisconsin, a selective undergraduate liberal arts college and conservatory of music located in Appleton, Wisconsin invites applications for a tenure-track Assistant Professor of Data Science and Statistics to begin September 1, 2027.

We seek candidates who will contribute to our growing program, which includes a new Data Science and Statistics major. Candidates must have a Ph.D. in statistics, biostatistics, data science, or a closely related field prior to the time of appointment (9/1/2027); ABD is acceptable for selection. Candidates should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, and expect to participate in Lawrence’s flagship First Year Studies program on rotation. The First Year Studies curriculum presents an interdisciplinary introduction to the liberal arts intended to support new students’ fundamental skills as readers, writers, and thinkers.

Duties and Responsibilities

Primary duties include: teaching two undergraduate courses in each of Lawrence’s three ten-week terms, grading, advising and mentoring students; conducting research; leading occasional tutorials, supervising independent study projects and internships; assisting in curricular planning; and related departmental and institutional service.

Position Qualifications

The successful candidate will be the third statistics and data science faculty member in the Department of Mathematics, Statistics, and Computer Science. Additional information about our curriculum and faculty can be found at https://www.lawrence.edu/academics/college/data-science-and-statistics.

Candidates should submit the following: (1) a cover letter describing their interest in this position, (2) a curriculum vitae, (3) a statement of teaching explaining their pedagogical methods and teaching experiences, (4) a statement describing their scholarly activities, interests, and future plans, (5) names and email addresses for three references who can be contacted for letters of recommendation at a later stage in the process (at least one of whom can attest specifically to teaching).

In their teaching statement, candidates are encouraged to discuss their experiences and ideas for teaching courses involving data analysis and computational tools. Candidates should also discuss how they will foster an inclusive and supportive learning environment for all students. In their scholarship statement, candidates are encouraged to discuss their experiences or ideas for incorporating undergraduate students in their research.
Candidates are encouraged to read more about Lawrence at https://lawrence.peopleadmin.com as well as www.lawrence.edu and Colleges That Change Lives.

We will begin reviewing applications on October 2, 2026. For further information, please contact Andrew Sage, the chair of the search committee (sagea@lawrence.edu).

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