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Data Science Jobs in Kenosha, WI (NOW HIRING)

AbbVie

Associate Scientist, Data I

North Chicago, IL

$56K - $57K/yr

This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive ...

New

AbbVie

Associate Scientist, Data I

North Chicago, IL · On-site

$56K - $57K/yr

This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive ...

New

AbbVie

Associate Scientist, Data I

North Chicago, IL · On-site

$58K/yr

This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive ...

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56K - $57K/yr

Learn and understand pharmaceutical R&D/Life Science centric datasets. * Produces and maintains ... Experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R)

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$65K/yr

Learn and understand pharmaceutical R&D/Life Science centric datasets. * Produces and maintains ... Experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R)

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$56K - $57K/yr

Learn and understand pharmaceutical R&D/Life Science centric datasets. * Produces and maintains ... Experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R)

Wolf Soccer Club

Remote Data Analyst

Waukegan, IL · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, or equivalent practical experience. * Ability to work independently, manage multiple ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Kenosha, WI

Data Science information

See Kenosha, WI salary details

$36.6K

$119.7K

$191.7K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in Kenosha, WI is $119,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $132,700.00 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 Kenosha, WI?

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

What job categories do people searching Data Science jobs in Kenosha, WI look for?

The top searched job categories for Data Science jobs in Kenosha, WI are:

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Kenosha, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,733 per year, or $57.6 per hour.

Associate Scientist, Data I

AbbVie

North Chicago, IL

$56K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Associate Scientist, Data I supports the design, development, and deployment of data and analytics solutions that enable digital transformation across AbbVie Operations. This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive efficiency, quality, and innovation. The position collaborates with business stakeholders, engineers, scientists, and technology teams to integrate data from diverse sources, develop analytics workflows, and support emerging technology initiatives across manufacturing, supply chain, laboratories, and engineering functions.

Responsibilities:

  • Develop and maintain data pipelines, integrations, and data products that support operational use cases.
  • Collect, transform, and analyze data from manufacturing, laboratory, and enterprise systems.
  • Support the development and deployment of AI, machine learning, and advanced analytics solutions.
  • Collaborate with subject matter experts to define data requirements and translate business needs into technical solutions.
  • Contribute to data quality, governance, and standardization efforts to ensure trusted and accessible data.
  • Build dashboards, visualizations, and analytical tools that enable data-driven decision making.
  • Participate in proof-of-concept, pilot, and innovation projects within the Emerging Technologies portfolio.
  • Document technical solutions and follow established engineering and data management best practices.
Qualifications

Required:

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or a related field.
  • Understanding of data engineering concepts, including ETL/ELT, data modeling, and cloud-based data platforms.
  • Strong problem-solving, communication, and collaboration skills.
  • Interest in applying data and digital technologies to improve manufacturing, laboratory, and operational performance.
  • Must be curious, collaborative, and passionate about leveraging data to solve complex operational challenges.
  • Must be comfortable working in cross-functional teams and eager to learn emerging technologies that accelerate innovation across AbbVie Operations.

Preferred:

  • Experience with Python, SQL, and data analytics tools.
  • Familiarity with machine learning modelling, AI, or data visualization tools is preferred.
Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. 
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our short-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

What AbbVie employees say

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Hours and flexibility

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AbbVie logo

About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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