ZipRecruiter

Log In

1

New Grad Data Scientist Jobs in Appleton, WI (NOW HIRING)

Faith Technologies Inc.

Data Analyst II

Menasha, WI · On-site

Bachelor's degree in mathematics, economics, computer science, information management, or ... If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens ...

Schreiber Foods, Inc.

Research Scientist

Green Bay, WI · On-site

Develop or identify new or more cost effective ingredients and production methods. Support contract ... Demonstrated ability to independently design experiments, analyze data, and interpret results to ...

Schreiber Foods, Inc.

Research Scientist

Green Bay, WI · On-site

Develop or identify new or more cost effective ingredients and production methods. Support contract ... Demonstrated ability to independently design experiments, analyze data, and interpret results to ...

Schreiber Foods

Research Scientist

Green Bay, WI

Develop or identify new or more cost effective ingredients and production methods. Support contract ... Demonstrated ability to independently design experiments, analyze data, and interpret results to ...

Oshkosh Corporation

Reliability Data Analyst

Oshkosh, WI

$64K - $103K/yr

Continuously evaluate and implement new data tools, technologies, and methodologies. MINIMUM QUALIFICATIONS * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

next page

Showing results 1-20

All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Appleton, WI

New Grad Data Scientist information

See Appleton, WI salary details

$35.7K

$116.8K

$187K

How much do new grad data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for new grad data scientist in Appleton, WI is $116,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

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

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Appleton, WI?

For New Grad Data Scientist jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching New Grad Data Scientist jobs in Appleton, WI look for?

The top searched job categories for New Grad Data Scientist jobs in Appleton, WI are:

What cities near Appleton, WI are hiring for New Grad Data Scientist jobs?

Cities near Appleton, WI with the most New Grad Data Scientist job openings:

New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Appleton, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,759 per year, or $57.6 per hour.

Assistant Professor, Data Science and Statistics

Lawrence University Department of Theatre Arts

Appleton, WI • On-site

$80 - $100/hr

Other

Posted 9 days ago

Job description

Assistant Professor, Data Science and Statistics

Position Title Assistant Professor, Data Science and Statistics


Location


Location Appleton


Department


Department Mathematics & Computer Science


Position Type


Position Type Faculty


Anticipated Number of Hours per Week


40


Position Description & Qualifications


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.


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. 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 .


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.


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 ).


Supplemental Questions

Required fields are indicated with an asterisk (*).


How did you hear about this employment opportunity?



  • Public Job Posting

  • Internal Job Posting

  • Agency Referral

  • Advertisement/Publication

  • Personal Referral

  • Website

  • Other


Lawrence University


711 East Boldt Way


Appleton, WI 54911

#J-18808-Ljbffr

Apply