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

Data Science Lead Analyst

Schaumburg, IL · On-site

$157.50K - $163.30K/yr

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties: Code, test and execute requirements for simple-to-complex Retail Services Partner Delivery data ...

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 ...

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

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

Director, Data Science The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

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 Scientist

Bolingbrook, IL · On-site

$102.90K - $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 Scientist

Bolingbrook, IL · On-site

$102.90K - $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 ...

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 ...

Senior Manager, Data Science

Oak Brook, IL · Hybrid

$129.70K - $226.90K/yr

Drive development and execution of the data science methodology and practices strategy. * Lead technical engagements with business unit and function stakeholders, as well as senior leaders. * Be a ...

A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties: Code, test, and execute the requirements for simple-to-complex Retail Services Partner Delivery data processing ...

Senior Manager, Data Science

Oak Brook, IL · On-site

$129.70K - $226.90K/yr

Drive development and execution of the data science methodology and practices strategy. * Lead technical engagements with business unit and function stakeholders, as well as senior leaders. * Be a ...

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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 May 29, 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.

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 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 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 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:
Infographic showing various Data Science job openings in Park Ridge, IL as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 3% Contract, and 2% Nights. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $120,775 per year, or $58.1 per hour.
Senior Director Data Science

Senior Director Data Science

Health Care Service Corporation

Chicago, IL • On-site

$161.50K - $299.70K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.
Join HCSC and be part of a purpose-driven company that will invest in your professional development.
Job Summary
This position is responsible for planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Lead initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis;. Advise business by providing data-based strategic direction to identify and address business issues and opportunities. Plan, manage and lead team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Required Job Qualifications:
* Bachelor's degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field. Leadership and/or management experience.
* 4 years of management experience.
* Learning and growth mindset.
* Customer-focused.
* Interpersonal, verbal and written communication skills.
* Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
* Microsoft applications including Access, Excel, Word and Power Point.
* A track record of independently delivering or leading the delivery of a complex analytics or data science project.
* Mentoring, managing, or leading junior analytics or data science staff.
*Overseeing the annual budget and allocating resources for various projects and operational needs.
*Translating needs and initiatives into compelling business cases.
*Conducting cost-benefit analyses to justify investments and ensure ROI.
Preferred Job Qualifications:
* Masters or Ph.D. in a quantitative field, or Bachelor's degree with healthcare experience.
* Actuarial Credentials
Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!
Pay Transparency Statement:
At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.
The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.
HCSC Employment Statement:
We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.
Base Pay Range
$161,500.00 - $299,700.00
Exact compensation may vary based on skills, experience, and location.