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

ATI

Data Scientist

Cudahy, WI · On-site

Map data from multiple sources into new structures. * Work with business subject matter experts to determine best solutions * Serve as a subject matter expert in the capabilities of Data Science.

ATI

Data Scientist

Cudahy, WI

Map data from multiple sources into new structures. * Work with business subject matter experts to determine best solutions * Serve as a subject matter expert in the capabilities of Data Science.

Next Gen Alloys

Data Scientist

Cudahy, WI

Map data from multiple sources into new structures. * Work with business subject matter experts to determine best solutions * Serve as a subject matter expert in the capabilities of Data Science.

US Bank

Data Scientist

Brookfield, WI · On-site

$111K - $131K/yr

Try new things, learn new skills and discover what you excel at-all from Day One. Responsibilities ... Define enterprise data standards, metadata management practices, and data governance processes.

US Bank

Senior Data Scientist

Brookfield, WI

$132K - $155K/yr

Try new things, learn new skills and discover what you excel at-all from Day One. Responsible for ... Acquires data from multiple data sources to perform analysis. Implements and validates predictive ...

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

New Grad Data Scientist information

See Racine, WI salary details

$35.2K

$115.1K

$184.3K

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 Racine, WI is $115,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,500.00 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 job categories do people searching New Grad Data Scientist jobs in Racine, WI look for?

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

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

Cities near Racine, 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 Racine, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,089 per year, or $55.3 per hour.

Data Scientist

ATI

Cudahy, WI • On-site

Full-time

Re-posted 7 days ago

Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.
ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.
As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.
A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.
Additional Responsibilities
  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications
  • B.S. degree in computer science, engineering with a strong statistical and programming background.
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)
  • Experience in PyTorch, Keras/Tensorflow.
  • Experience in explainable AI.
  • Experience in SQL data query, data cleaning
    • Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required.
  • If you have worked on PINN or used ML for solving materials science problem a big plus.

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.
*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.

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