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Full Time Data Science Jobs in Chicago, IL (NOW HIRING)

Sonsoft Inc

Data Science/Analytics

Chicago, IL

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

Benda Infotech

Data Scientist

Chicago, IL

$70K - $100K/yr

This full-time, on-site position offers a fantastic opportunity for entry-level candidates to dive into the dynamic world of data science and contribute to pioneering projects within the computer ...

Ritchie Bros.

Staff Data Scientist

Westchester, IL

Lead end-to-end data science projects, from problem framing and data exploration through model ... RB Global full-time employees are offered medical, dental, vision, and basic life insurances.

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All JobsData Science JobsFull Time Data Science JobsFull Time Data Science Jobs in Chicago, IL

Full Time Data Science information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do full time data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for full time data science in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
What are the most commonly searched types of Data Science jobs in Chicago, IL? The most popular types of Data Science jobs in Chicago, IL are:
Full Time Data Science jobs near you
Infographic showing various Full Time Data Science job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.
Current PhD - Data Science Internship - Summer 2027

Current PhD - Data Science Internship - Summer 2027

Capital One

Chicago, IL

Full-time

Posted 8 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

91st of 170 rated banks

Job description

Current PhD - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier:

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

  • Must be continuing in the same course of study of your PhD degree following completion of the internship

  • At least 6 months experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

  • At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern


Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern


McLean, VA: $176,000 - $176,000 for Data Science PhD Intern


New York, NY: $192,000 - $192,000 for Data Science PhD Intern


Plano, TX: $160,000 - $160,000 for Data Science PhD Intern


Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern


San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern


San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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