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Data Scientist Jobs in Park Ridge, IL (NOW HIRING)

Reyes Holdings

Data Scientist

Rosemont, IL

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques * Document lessons learned and process improvement techniques * Other duties as assigned Required ...

Reyes Holdings

Data Scientist

Rosemont, IL

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques * Document lessons learned and process improvement techniques * Other duties as assigned Required ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

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 ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques * Document lessons learned and process improvement techniques * Other duties as assigned Required ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

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 ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

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 ...

Munich Re

Data Scientist

Chicago, IL · On-site +1

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 ...

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · On-site

Overview The Data Scientist at Starcom will play a hands-on role in creating, testing and scaling analytics solutions within the Databricks environment. Sitting within our Analytics + Technology (A+T ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Edelman Intelligence is seeking a Data Scientist. The person in this role will work to help drive our predictive analytics business by building out the Big Data / machine learning / AI capabilities ...

AAR Corp

Data Scientist

Wood Dale, IL · On-site

$115 - $130/hr

- Data Scientist (18483) About Us: AAR Corp. (NYSE: AIR) is a global aerospace and defense aftermarket solutions company that employs more than 6,000 people across over 60 sites in over 20 countries.

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · On-site

Overview The Data Scientist at Starcom will play a hands-on role in creating, testing and scaling analytics solutions within the Databricks environment. Sitting within our Analytics + Technology (A+T ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Edelman Intelligence is seeking a Data Scientist. The person in this role will work to help drive our predictive analytics business by building out the Big Data / machine learning / AI capabilities ...

MessageControl

Data Scientist

Chicago, IL · On-site

As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new ...

MessageControl

Data Scientist

Chicago, IL

As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new ...

UL Solutions

Data Scientist

Northbrook, IL · On-site

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that support business decision-making. This role partners closely with business stakeholders, data ...

UL Solutions

Data Scientist

Northbrook, IL · On-site

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that support business decision-making. This role partners closely with business stakeholders, data ...

AAR Corporation

Data Scientist

Wood Dale, IL

The Data Scientist will define, build, and continuously improve the analytical and machine learning models that power the platforms core decision-making capabilities. This role translates complex ...

AAR

Data Scientist

Wood Dale, IL · On-site

The Data Scientist will define, build, and continuously improve the analytical and machine learning models that power the platforms core decision-making capabilities. This role translates complex ...

AAR Corporation

Data Scientist

Wood Dale, IL

The Data Scientist will define, build, and continuously improve the analytical and machine learning models that power the platforms core decision-making capabilities. This role translates complex ...

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All JobsData Scientist JobsData Scientist Jobs in Park Ridge, IL

Data Scientist information

See Park Ridge, IL salary details

$36.9K

$120.8K

$193.4K

How much do data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data scientist in Park Ridge, IL is $120,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $133,800.00 per year, depending on experience, location, and employer.

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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
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The most popular types of Data Scientist jobs in Park Ridge, IL are:

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Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Park Ridge, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $120,775 per year, or $58.1 per hour.

Data Scientist

Reyes Holdings

Rosemont, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Reyes Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

110th of 438 rated food and drinks producers

Job description

Position Responsibilities: 

  • Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

  • Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions

  • 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 including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

  • Document lessons learned and process improvement techniques

  • Other duties as assigned 

Required Education and Experience: 

  • 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 quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 


Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • 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 quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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