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Tech Careers in Chicago, United States

Data Scientist in Chicago: Salary & Job Market Guide

Chicago is the commercial heart of the American Midwest, with deep markets in finance, trading, logistics, consulting, and an underrated tech scene.

Estimated mid-level salary: $119,000 - $169,000

Estimates shown in Canadian dollar equivalents for comparison across cities. Local offers in Chicago are typically made in USD.

The Chicago Job Market for Data Scientists

  • Global centre for derivatives and commodities trading (CME Group)
  • Major consulting and professional services hub
  • North America's largest rail and logistics interchange
  • More affordable than coastal metros with big-market salaries

Top hiring industries in Chicago: Finance & Trading, Logistics, Consulting, Manufacturing, Tech. For a data scientist, that means tailoring your resume to the sectors doing the most local hiring, and using the exact skill keywords those employers screen for.

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About the Data Scientist Role

Data scientists turn raw data into predictions and decisions using statistics, machine learning, and domain knowledge. They sit at the intersection of engineering, analytics, and business strategy, and are core hires at banks, retailers, and tech companies alike.

Skills Chicago employers look for

  • Python and pandas
  • Statistics and experimentation
  • Machine learning (scikit-learn, XGBoost)
  • SQL
  • Data visualization
  • Communication and storytelling
  • A/B testing

For the full career path, salary bands by seniority, and complete FAQs, see the main Data Scientist career guide.

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Data Scientist in Chicago: FAQs

How much does a Data Scientist make in Chicago?
A mid-level Data Scientist in Chicago typically earns between $119,000 and $169,000 per year (shown in Canadian dollar equivalents for comparison; local offers are usually made in USD). Senior professionals and leads earn meaningfully more, and pay varies with company size and specialization.
What is the job market like for a Data Scientist in Chicago?
Chicago is the commercial heart of the American Midwest, with deep markets in finance, trading, logistics, consulting, and an underrated tech scene. Key strengths of the local market include: global centre for derivatives and commodities trading (cme group); major consulting and professional services hub. The strongest hiring sectors are Finance & Trading, Logistics, Consulting.
What is the difference between a data scientist and a data analyst?
Analysts primarily describe what happened using SQL, dashboards, and reporting. Data scientists go further into why it happened and what will happen next, building statistical models and machine learning systems. Many data scientists start as analysts and add modelling and programming depth over time.
Which portfolio projects impress data science hiring managers?
End-to-end projects on messy, real-world data beat Kaggle leaderboard entries. Show that you framed a business question, cleaned ugly data, chose a sensible model, and communicated the result. One deployed project with a write-up is worth more than ten notebooks.

Data Scientist Jobs in Other Cities

TorontoVancouverCalgaryMontrealOttawaEdmontonWinnipegHalifaxVictoriaWaterlooNew YorkSan Francisco

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