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Data Scientist Data Jobs in Wisconsin (NOW HIRING)

Innovizant LLC

Data Scientist

Madison, WI · On-site

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

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 ...

Jobtailor

WI · On-site

$90 - $150/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field * 2-4 years of experience developing data science ...

New

ATI

Data Scientist

Cudahy, WI · On-site

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 ...

Next Gen Alloys

Data Scientist

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 ...

ATI

Data Scientist

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 ...

Jockey International, Inc.

Data Scientist

Kenosha, WI · On-site

Jockey is seeking a Data Scientist to join our IT team! JOB SUMMARY Jockey is looking to fill a Data Scientist role with a dedicated analytics and modeling partner in our Product Solutions Pillar.

Jockey

Data Scientist

Kenosha, WI · On-site

Jockey is seeking a Data Scientist to join our IT team! JOB SUMMARY Jockey is looking to fill a Data Scientist role with a dedicated analytics and modeling partner in our Product Solutions Pillar.

Jockey International, Inc.

Data Scientist

Kenosha, WI · On-site

Jockey is seeking a Data Scientist to join our IT team! JOB SUMMARY Jockey is looking to fill a Data Scientist role with a dedicated analytics and modeling partner in our Product Solutions Pillar.

Elephas

Senior Data Scientist

Madison, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

NewYork-Presbyterian

Senior Data Scientist

Cornell, WI · On-site

  • Medical

  • Life

Senior Data Scientist Position Summary Works closely with multi-disciplinary teams, including intuitional leaders and other key stakeholders in the development and implementation of data driven ...

Valid8 Financial, Inc.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role within Amplifi's consulting team, combining hand‑on technical execution with client advisory to ...

Elephas

Senior Data Scientist

Madison, WI

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

  • Medical

  • Life

  • Retirement

  • PTO

Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement. * Develop and apply advanced statistical, machine learning, and ...

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Data Scientist Data information

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

AspectData Scientist DataData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often includes certifications in machine learning or data analysis toolsDegree in Statistics, Mathematics, or related fields; certifications in data visualization or analysis tools are common
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning algorithms; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions; typically in business intelligence teams
Employer & Industry UsageUsed across tech, finance, healthcare, and e-commerce industries for complex data modelingCommon in retail, marketing, finance, and healthcare for reporting and data interpretation

While both roles analyze data, Data Scientist Data focuses on building predictive models and advanced analytics, whereas Data Analysts primarily interpret data and generate reports for decision-making. The roles often overlap but differ in complexity and scope.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights and build predictive models using statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning frameworks. They often work closely with stakeholders to inform business decisions and require strong analytical, coding, and communication skills.

What are popular job titles related to Data Scientist Data jobs in Wisconsin?

For Data Scientist Data jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Scientist Data jobs in Wisconsin look for?

The top searched job categories for Data Scientist Data jobs in Wisconsin are:

Data Scientist Data jobs near you

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Re-posted 9 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

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