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Statistical Data Scientist Jobs in Chicago, IL (NOW HIRING)

Apply a variety of methods including data mining, statistical analysis, predictive modeling and ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

Apply a variety of methods including data mining, statistical analysis, predictive modeling and ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Apply machine learning, statistical modeling, and causal inference to generate insights and ... Degree preferably in statistics, applied mathematics, data science, analytics, engineering ...

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... In addition to classical statistical methods, research and implement new machine learning ...

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Apply a variety of methods including data mining, statistical analysis, predictive modeling and ... Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... In addition to classical statistical methods, research and implement new machine learning ...

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... In addition to classical statistical methods, research and implement new machine learning ...

... Data Scientist to join our team ... In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ...

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 ...

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 ...

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

Significant knowledge of statistics and data mining methods such as, but not limited to, various ... science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management ...

Apply statistical methods and basic machine learning models to support forecasting, prediction, and business decision-making. * Perform ad-hoc and recurring analyses to support both operational ...

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 ... Design and analyze experiments, statistical tests, and validation methods to measure model quality ...

Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure ...

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Design and analyze experiments, statistical tests, and validation methods to measure model quality ...

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Statistical Data Scientist information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do statistical data scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for statistical data scientist in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What are the key skills and qualifications needed to thrive as a statistical data scientist?

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Chicago, IL?

For Statistical Data Scientist jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Statistical Data Scientist jobs in Chicago, IL look for?

The top searched job categories for Statistical Data Scientist jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Statistical Data Scientist jobs?

Cities near Chicago, IL with the most Statistical Data Scientist job openings:

Infographic showing various Statistical Data Scientist job openings in Chicago, IL as of August 2026, with employment types broken down into 18% Internship, 64% Full Time, and 18% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.

Data Scientist

Reyes Holdings

Rosemont, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Reyes Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

109th of 443 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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