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Data Science Jobs in Racine, WI (NOW HIRING)

RadNet, Inc.

Sr Data Scientist

Cudahy, WI · On-site

$120 - $190/hr

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 ...

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.

US Bank

Data Scientist

Brookfield, WI

$111K - $131K/yr

Define enterprise data standards, metadata management practices, and data governance processes ... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Racine, WI

Data Science information

See Racine, WI salary details

$35.2K

$115.1K

$184.3K

How much do data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science 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 data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Racine, WI?

The most popular types of Data Science jobs in Racine, WI are:

What are popular job titles related to Data Science jobs in Racine, WI?

For Data Science jobs in Racine, WI, the most frequently searched job titles are:

What cities near Racine, WI are hiring for Data Science jobs?

Cities near Racine, WI with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Racine, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 2% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,089 per year, or $55.3 per hour.

Principal Data Scientist

Blue Cross and Blue Shield of North Carolina

Milwaukee, WI • On-site

$143K - $229K/yr

Other

Medical, Retirement, PTO

Posted 13 days ago

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

196th of 311 rated insurance

Job description

Job Description

The Principal Data Scientist will serve as the principal lead to provide accurate and quality analyses that translate data in sound organizational decisions. In this role you will provide strategic thought leadership and partner with other functional areas to deliver collaborative work products that align with divisional and enterprise strategy. You will own delivery of multiple large and/or complex data science and engineering projects.

What You'll Do

  • Lead in the development and testing of hypotheses across all functional data sets

  • Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

  • Define and implement integrated data models, allowing integration of data from multiple sources

  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation

  • Define and implement data stores based on system requirements and consumer requirements

  • Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis

  • Design and implement production models leveraging technologies such Python, and R

  • Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues

  • Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation

  • Lead development and reviews of complex analytic models and algorithms

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups

  • Document and test analytic processes including performance and thorough data validation and verification

  • Engage with enterprise business areas to incorporate feedback into audit process including but not limited to Payment Integrity, SIU, Provider, Behavioral Health, Med Policy, Claims, Pharmacy
  • Articulate analytic methods and drive business outcomes with responsible business areas
  • Consult with executive level leadership across the organization- with responsibility to drive CoC ideation for Commercial and Medicare
  • Informally lead other analysts and synthesize information and make recommendations to executive leadership
What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 8+ years of experience in related field.

  • In lieu of degree, 10+ years of experience in related field.

  • Strong Analytic/Data Science skills:

  • Experience with Snowflake

  • Experience building AI Agents

  • Understand Bell curve analysis

  • Incorporate Industry benchmarks into analysis

  • Perform outlier detection

  • Strong healthcare experience with Payment Integrity/FWA business knowledge is required

  • understanding of FWA concepts, CMS guidelines, Medical/Reimbursement Policy are all strongly preferred

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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