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Data Science Jobs in Naperville, IL (NOW HIRING)

Data Scientist

Bolingbrook, IL · 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 ...

Data ScientistIf you have ever enjoyed or considered applying data science to understand the giant, tangled world of real estate - the world's largest asset class - consider this: there is almost ...

Data ScientistIf you have ever enjoyed or considered applying data science to understand the giant, tangled world of real estate - the world's largest asset class - consider this: there is almost ...

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 ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

New

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Bachelor's degree with 5+ years of proven technical data science experience OR Master's degree with 3+ years of proven technical data science experience * Degree preferably in statistics, applied ...

Partner with data scientists and ML engineers to make datasets model-ready, including preparing multimodal data for AI and computer vision use cases. Technical environment: Python and Spark;

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Data Scientist

Chicago, IL · On-site

$98 - $158/hr

Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights, optimize, and generate measurable business value.* Become familiar with ...

New

The team is responsible for protecting existing global data science environments, modernizing data science by onboarding practitioners to One True and cloudbased tooling, and continuously enhancing ...

Utilize various data science methods, such as machine learning, statistical modeling, and causal inference, to gain insights, optimize, and generate measurable business value. * Become familiar with ...

The team is responsible for protecting existing global data science environments, modernizing data science by onboarding practitioners to One True and cloudbased tooling, and continuously enhancing ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

Showing results 41-60

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 21, 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 Scientist

Ulta Beauty

Bolingbrook, IL • On-site

$102K - $130K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 3 days ago


Ulta Beauty rating

6.1

Company rating: 6.1 out of 10

Based on 1,010 frontline employees who took The Breakroom Quiz

12th of 24 rated health and beauty retailers


Job description

OVERVIEW
Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been defined as a "mature start-up." A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.
We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you'll find that virtually nothing's impossible at Ulta Beauty.
THE IMPACT YOU CAN MAKE:
This Data Scientist is an integral part of the Data Science and Machine Learning practice within our Enterprise AI team at Ulta Beauty. 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 mining our rich data assets to develop features, conducting statistical analyses, building DS/ML models, and constructing large scale prediction systems in a fast-paced, data-focused retail environment. The Data Scientist will also act as a subject matter expert, communicating the value and tackling the application of advanced analytics for various use cases with multiple stakeholders across Ulta Beauty.
YOU'LL ACCOMPLISH THESE GOALS BY:
  • Design and develop data science and machine learning models to optimize operational tactics, marketing messages, and guest experiences, while generating efficiencies across Ulta Beauty
  • In addition to classical statistical methods, research and implement new machine learning approaches and techniques to drive innovative solutions that solve business problems
  • Mine our rich, omnichannel, customer data assets across 1500+ stores, a leading e-commerce platform, and 46M+ Ultamate Rewards loyalty program members to construct analytical solutions that enable data-driven decisions
  • Partner with the AI Engineering and Architecture peers, contributing the Data Science perspective in cross-functional discussions
  • Engage with business and product stakeholders to refine requirements into a concrete, technical scope
  • Explain and present complex analytical approaches and model results in a concise manner to drive alignment and outcomes from business partners
  • Ensure data integrity and quality by leveraging proven methodologies, including data reconciliation, data integration and data audits
  • Continue driving a data-driven culture and contribute to the creation of enterprise AI capabilities and platforms that power Ulta Beauty's future
ESSENTIALS FOR SUCCESS:
  • 2+ years of professional experience in data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment
  • Advanced degree in a highly quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, etc. Equivalent professional experience will be considered.
  • In-depth knowledge and experience with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.)
  • Proficiency in Python and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy etc.)
  • Hands-on experience designing, deploying, and maintaining machine learning pipelines
  • Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language
  • Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
  • Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail oriented with an ability to make proactive recommendations
  • Passion for broadening your technical skills and diving into unknown problems

PREFERRED QUALIFICATIONS:
  • Hands-on experience working in Databricks and enterprise cloud platforms, preferably GCP
  • Practical experience with CI/CD and MLOps best practices and tools (Git, Airflow, MLflow, Jenkins, etc.)
  • Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g., Tensorflow, Torch, etc.)
  • Understanding of causal and uplift models
  • Prior work in retail, e-commerce, or consumer-facing technology environments

The pay range for this position is $102,900.00 - $130,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta
ABOUT
At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services.
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

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