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Data Science Jobs in Naperville, IL (NOW HIRING)

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

Associate Director, Data Science

Chicago, IL ยท On-site

$112 - $161/hr

Working closely with senior Data Science leadership, this role applies to statistical modeling, machine learning, and AI-driven approaches to transform complex data into actionable insights that ...

Associate Director, Data Science

Chicago, IL ยท On-site

$112 - $161/hr

Working closely with senior Data Science leadership, this role applies to statistical modeling, machine learning, and AI-driven approaches to transform complex data into actionable insights that ...

AI Data Science Expert - Remote

Chicago, IL ยท Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI and Data Science Lead

Lisle, IL ยท On-site

$191K - $286K/yr

Position Overview The AI and Data Science Lead will be responsible for helping drive, enhance, and scaling the AI program at International. This role will lead the organization's AI and Data Science ...

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud ...

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud ...

New

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate business requirement to analytical model. * Communicate directly with business users * Technical ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate business requirement to analytical model * Communicate directly with business users * Technical Skills ...

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Data Scientist

Rosemont, IL ยท On-site

$99K - $124K/yr

Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance * Document projects ...

Data Scientist

Bolingbrook, IL ยท On-site

$102K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Showing results 21-40

Data Science information

See Naperville, IL salary details

$37.4K

$122.6K

$196.2K

How much do data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science in Naperville, IL is $122,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,800.00 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.

What are the most commonly searched types of Data Science jobs in Naperville, IL?

The most popular types of Data Science jobs in Naperville, IL are:

What are popular job titles related to Data Science jobs in Naperville, IL?

For Data Science jobs in Naperville, IL, the most frequently searched job titles are:

What cities near Naperville, IL are hiring for Data Science jobs?

Cities near Naperville, IL with the most Data Science job openings:

Infographic showing various Data Science job openings in Naperville, IL 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, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,556 per year, or $58.9 per hour.

Data Science Manager

Kemper

Chicago, IL โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Location(s)

Alpharetta, Georgia, Bloomington, Illinois, Boston, Massachusetts, Chicago, Illinois, Columbus, Ohio, Hartford, Connecticut, Omaha, Nebraska

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide experience to our stakeholders that delivers on our promises.

Position Summary:

Responsible for developing and delivering machine learning and AI solutions for Claims use cases, including claim triage, fraud detection, severity prediction, litigation, subrogation, workflow optimization, and other claims analytics applications, while providing technical leadership and leading projects. This role includes direct people leadership responsibilities, including coaching, mentorship, and performance management

Position Responsibilities:

  • Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
  • Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
  • Manages project scope, expectations, and timelines.
  • Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
  • Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
  • Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
  • Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Position Qualifications:

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment.
  • PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.
  • Prior experience mentoring or managing talent.
  • Experience developing and deploying predictive models into production.
  • At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
  • Strong proficiency in Python and SQL.
  • Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
  • Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical insights to business stakeholders and senior leadership.
  • Claims experience preferred.
  • This position can be worked hybrid out of a local Kemper office. Remote options will be considered for non-local candidates.
  • Sponsorship is not accepted for this opportunity
  • The range for this position is $115,700 to $192,900. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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