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

Walgreens

Manager, Data Science

Deerfield, IL · On-site

Job Summary The Manager, Data Science supports customer analytics across Marketing, Loyalty, CRM, and Digital, helping teams understand customer behavior, engagement, retention, and lifetime value.

New

Socket.dev

Architect, Data Science

Chicago, IL · On-site

$155K - $190K/yr

As part of our growing Data Science practice, this role offers an exciting opportunity to lead technical strategy, design end‑to‑end ML pipelines, and drive pre‑sales engagements from initial ...

micro1 AI

AI Data Science Evaluator

Chicago, IL · Remote

$245 - $280/hr

Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring ...

Allergan

Senior Manager, Data Science

Chicago, IL · On-site

$142K - $208K/yr

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days WFH)). Key Responsibilities * Deliver biomarker analysis expertise for clinical studies. * Ensure ...

AbbVie

Senior Manager, Data Science

North Chicago, IL · On-site

$142K - $208K/yr

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days WFH)). Key Responsibilities * Deliver biomarker analysis expertise for clinical studies. * Ensure ...

AbbVie

Senior Manager, Data Science

North Chicago, IL · Hybrid

$142K - $208K/yr

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days WFH)). Key Responsibilities * Deliver biomarker analysis expertise for clinical studies. * Ensure ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel -- the quality, currency, and representativeness of the signal at the heart of our data. Your team owns ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel -- the quality, currency, and representativeness of the signal at the heart of our data. Your team owns ...

YO AI Labs

AI Data Science Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

ZS

Advanced Data Science Manager

Evanston, IL · On-site

$225K - $240K/yr

Advanced Data Science Manager in AI will... * Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. * Develop and implement ...

Sonsoft Inc

Data Science/Analytics

Chicago, IL

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

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

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 ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

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 ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

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 ...

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Showing results 21-40

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 Sep 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.

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 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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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.
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 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $120,775 per year, or $58.1 per hour.

Manager, Data Science

Deerfield, IL • On-site

Walgreens
Pharmaceutical and Medicine Manufacturing • 51 - 200 employees
Learn more about Walgreensexternal

Full-time

Posted 3 days ago

New

Walgreens rating

5.5

Company rating: 5.5 out of 10

Based on 2,245 frontline employees who took The Breakroom Quiz

Job description


Job Summary
The Manager, Data Science supports customer analytics across Marketing, Loyalty, CRM, and Digital, helping teams understand customer behavior, engagement, retention, and lifetime value. This role manages data science workstreams focused on customer segmentation, propensity modeling, personalization, journey analytics, loyalty analytics, audience insights, experimentation (A/B testing), and customer-level performance measurement. The Manager integrates large, complex customer datasets and translates advanced analyses into clear, actionable recommendations that improve customer engagement, strengthen loyalty, inform business decisions, and accelerate growth. As a cross-functional partner to business and analytics leaders, this role helps execute customer analytics strategy, identify opportunities to enhance customer experiences, and build scalable analytical capabilities across the organization.
Job Responsibilities
  • Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.
  • Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.
  • Manages issues proactively, including timely resolution and the identification of remediation opportunities.
  • Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.
  • Keeps abreast of new analytic methodologies and technologies.
  • Collaborates with functional business units to drive business solutions and direction.
  • Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.
  • May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.
  • Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.
  • Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
External Basic Qualifications
  • Bachelor's degree and at least 4 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical discipline and at least 2 years of experience in quantitative or computational functions.
  • Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data
  • Deep knowledge of SQL
  • Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
  • Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.
  • At least 2 years of experience contributing to financial decisions in the workplace.
  • At least 2 years of direct leadership, indirect leadership and/or cross-functional team leadership.
  • Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications
  • Graduate degree in statistics, data science, applied mathematics, computer science, or a related quantitative discipline.
  • Experience leading customer analytics, measurement, or data science teams.
  • Expertise in machine learning modeling using customer-level data.
  • Experience partnering with external measurement providers and technology vendors to deliver insights.
We will consider employment of qualified applicants with arrest and conviction records.
The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits

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