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Data Science And Analytics Jobs in Chicago, IL (NOW HIRING)

We are looking for someone with 1-2 years of applied data science experience who is eager to lean in, experiment with new approaches, and help shape how advanced analytics drives audience development ...

Data Scientist

Chicago, IL ยท On-site

$98 - $158/hr

Leverage existing expertise in data cleaning, analysis, quantitative analytic methods, and modeling to tackle complex issues.* Utilize various data science methods, such as machine learning ...

Leverage existing expertise in data cleaning, analysis, quantitative analytic methods, and modeling to tackle complex issues. * Utilize various data science methods, such as machine learning ...

Data Science Tutor

Oak Lawn, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Buffalo Grove, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Des Plaines, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Highland Park, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Evanston, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

... data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques. What you'd be doing: * Deliver analytical ...

Data Science Tutor

Skokie, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Lake Forest, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Schaumburg, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Wheaton, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Naperville, IL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Showing results 21-40

Data Science And Analytics information

See Chicago, IL salary details

$38.7K

$126.5K

$202.6K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Chicago, IL is $126,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Chicago, IL are hiring for Data Science And Analytics jobs?

Cities near Chicago, IL with the most Data Science And Analytics job openings:

Infographic showing various Data Science And Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,538 per year, or $60.8 per hour.

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Re-posted 8 days ago


Job description

Company Description
With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at center of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, Starcom partners with the world's leading marketers and brands, including Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more.
Overview
The Data Scientist at Starcom will play a hands-on role in creating, testing and scaling analytics solutions within the Databricks environment. Sitting within our Analytics + Technology (A+T) team, this role partners closely with internal Strategists and Consumer Insights teams to transform client growth opportunities into actionable data science outputs. They will work under the guidance of senior data science leaders to deliver impactful, data-driven solutions for both internal teams and external clients.
We are looking for someone with 1-2 years of applied data science experience who is eager to lean in, experiment with new approaches, and help shape how advanced analytics drives audience development, campaign activation, and media performance. This is an opportunity to grow technical expertise while taking ownership of meaningful projects that directly impact clients and internal teams.
The ideal candidate is curious, entrepreneurial, and detail-oriented-with the technical skills to build and validate solutions, and the communication ability to make those solutions clear and impactful to non-technical stakeholders.
Responsibilities
  • Design and develop analytics applications and solutions using Python, SQL, and PySpark in Databricks.
  • Build, refine and prototype new approaches to campaign-specific audience development in partnership with Strategists and Consumer Insights teams.
  • Perform quality assurance checks to validate audience definitions, confirm audience sizes, and ensure delivery readiness.
  • Push approved audiences from Databricks into downstream environments, enabling non-technical teams to activate audiences seamlessly.
  • Collaborate with media, marketing, and strategy teams to rethink growth opportunities and translate them into scalable, data-driven solutions.
  • Explore and apply statistical and machine learning methods under the guidance of senior data scientists (e.g., regression, classification, clustering, forecasting).
  • Identify opportunities to automate processes and improve workflows across analytics and audience development.
  • Document audience logic, data sources, and methodologies to ensure clarity, repeatability and scalability.
  • Pilot and test emerging techniques, sharing learnings and recommendations with the broader analytics team.
  • Support integration of data science outputs into dashboards, pipelines, and reporting platforms.
  • Communicate findings and insights clearly, bridging the gap between technical and non-technical partners.

Qualifications
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Economics) or equivalent experience.
  • 1-2 years of applied experience in data science, analytics, or a related field.
  • Proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Plotly) and SQL; exposure to PySpark and distributed data processing a plus.
  • Familiarity with Databricks or other cloud-based analytics platforms preferred.
  • Basic understanding of statistical modeling and machine learning techniques (regression, classification, clustering, forecasting).
  • Strong attention to detail and ability to perform data QA.
  • Ability to work in collaboration with technical and non-technical team members.
  • Interest in media, advertising, or marketing analytics is a plus.
  • Familiarity with data visualization tools (e.g., Tableau, PowerBI) is helpful.

Additional Information
Starcom is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
  • Paid Family Care for parents and caregivers for 12 weeks or more
  • Monetary assistance and support for Adoption, Surrogacy and Fertility
  • Monetary assistance and support for pet adoption
  • Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
  • Tuition Assistance
  • Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
  • Matching Gifts programs
  • Flexible working arrangements
  • 'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
  • Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to U.S. based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Compensation Range: $110,580 - $158,865 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/15/2025.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines.
#LI-JM2
Compensation Range: USD $110,580.00 - USD $158,865.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/30/2025.