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New Grad Data Scientist Jobs in Wisconsin (NOW HIRING)

... new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you ...

... new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you ...

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.

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.

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.

Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives ... Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or ...

LocationNew York, New YorkShift:Day (United States of America)Description: Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment of models for defined ...

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

LocationNew York, New YorkShift:Day (United States of America)Description: Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment of models for defined ...

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.

Posted today

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.

Posted today

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.

Posted today

LocationNew York, New YorkShift:Day (United States of America)Description: Senior Data Scientist Position Summary Works closely with multi-disciplinary teams, including intuitional leaders and other ...

About the Role In this role you will work with a data science team and cross-functional partners to ... Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives ...

WI · On-site

$100 - $130/hr

Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The ... We're looking for a data scientist who is as comfortable shipping a heuristic to production as they ...

Working with weather data is really unique and amazing; weather is in perpetual evolution ... Continuously build your knowledge by studying new scientific methodologies and techniques. * Play ...

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New Grad Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

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

As of Aug 12, 2026, the average yearly pay for new grad data scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 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 cities in Wisconsin are hiring for New Grad Data Scientist jobs? Cities in Wisconsin with the most New Grad Data Scientist job openings:
Infographic showing various New Grad Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Re-posted 3 days ago


Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
Experience in Statistical modeling.
Candidate will be helping the client to lead this process or improve upon the program.
• Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com