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

Reyes Holdings | Our Culture

Data Scientist

Rosemont, IL · On-site

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 ...

Reyes Holdings

Data Scientist

Rosemont, IL · 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 ...

Bcbsa

Senior Director, Data Science & Gen AI

Chicago, IL · On-site

Summary The Senior Director, Data Science and GenAI is a senior leadership role focused on leading the development and application of Generative AI and advanced machine learning capabilities embedded ...

Ulta Beauty

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 ...

Ulta Beauty, Inc.

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 ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$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 ...

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All JobsData Science JobsData Science Jobs in Park Ridge, IL

Data Science information

See Park Ridge, IL salary details

$36.9K

$120.8K

$193.4K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 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 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 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.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Park Ridge, IL? The most popular types of Data Science jobs in Park Ridge, IL are:
What are popular job titles related to Data Science jobs in Park Ridge, IL? For Data Science jobs in Park Ridge, IL, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Park Ridge, IL look for? The top searched job categories for Data Science jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Data Science jobs? Cities near Park Ridge, IL with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Park Ridge, IL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,775 per year, or $58.1 per hour.

Data Scientist

Reyes Holdings | Our Culture

Rosemont, IL • On-site

Full-time

Posted 10 days ago

Job description

Responsibilities

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

  • Travel up to 30% of the time

  • Other duties as assigned 

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 

Essential Information for Our EmployeesAt the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees, and our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Company policy prohibits discrimination and harassment against any applicant or employee based on any status or basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Please note, if you are an employee in the US moving from one position to another, you may be subject to additional background screening based on the requirements of the new role.Employment Type: FULL_TIME

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