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

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

NielsenIQ's North America Data Science team empowers clients to make bold decisions using trusted data, measurement science, and advanced analytics. As a Summer Intern, you'll work alongside data ...

Data Science Intern

Chicago, IL · On-site

$1.20K/wk

You'll report to Rundoo's Head of Data Science, Amrit, and work with members from our go-to-market team. This role is ideal for someone who thrives on leveraging data-driven techniques and ...

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

AI and Data Science Lead

Lisle, IL · On-site

$191.20K - $286.80K/yr

Position Overview The AI and Data Science Lead will be responsible for helping drive, enhance, and scaling the AI program at International. This role will lead the organization's AI and Data Science ...

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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.
Data Science Consultant

Data Science Consultant

Deloitte

Chicago, IL • On-site

Full-time

Posted 24 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that empowers organizations to build deeper relationships with customers through innovative strategies and advanced analytics. The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth.
Responsibilities:
• Ability to understand business goals and translate them into Machine Learning use cases and model design
• Understanding and applying clustering/sampling techniques to design
• Grow your understanding of the multi-channel marketing optimization problem space
• Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes
• Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
• Being able to interpret the models that are being generated
• Developing proofs of concept to verify your ideas
• Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
• Working closely with clients throughout
Qualifications:
Required:
• A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
• At least 2+ years of industry experience outside of academia
• Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future
Preferred:
• A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
• Good problem decomposition skills and autonomy when faced with solving data problems
• Experience manipulating large marketing data sets and performing ETL
• Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
• Experience with large data sets generated in the Ad Tech or Marketing technology spaces
• Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
• Proficiency in high level scripting language, such as Python or R
• Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
• If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us
• Experience with Deep Learning architectures and/or Reinforcement Learning
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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