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

Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field ... Solid understanding of data structures, algorithms, and problem-solving fundamentals. * Interest in ...

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering ...

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering ...

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate quality data at every critical moment and milestone. That's why we need you -- your ...

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate quality data at every critical moment and milestone. That's why we need you -- your ...

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Entry Level Data Science information

See Park Ridge, IL salary details

$10

$18

$26

How much do entry level data science jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level data science in Park Ridge, IL is $18.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.06 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are popular job titles related to Entry Level Data Science jobs in Park Ridge, IL? For Entry Level Data Science jobs in Park Ridge, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Park Ridge, IL look for? The top searched job categories for Entry Level Data Science jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Entry Level Data Science jobs? Cities near Park Ridge, IL with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Park Ridge, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $38,995 per year, or $18.7 per hour.
Sr. Business Analyst - Personal Loan Recovery Strategy

Sr. Business Analyst - Personal Loan Recovery Strategy

Capital One

Riverwoods, IL • On-site

Full-time

Posted 5 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Sr. Business Analyst - Personal Loan Recovery Strategy

Summary:

As a Sr. Business Analyst on the Personal Loan Recovery Strategy Team, you will take ownership of analyzing post-charge off portfolio performance, monitoring champion-challenger strategies, and optimizing account segmentation. In this role, you will have the opportunity to work alongside our partner teams including Data Science, Finance, Tech, Product and Operations. You will leverage data-driven insights to recommend strategic business decisions
across our Collection and Recovery channels and directly influencing profitability for our personal loan portfolios.

General Responsibilities:

  • Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations

  • Product: Perform modeling/analytics to assist new product and pricing strategies for various lending products

  • Marketing: Support direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Help build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go to market strategies

  • Credit Risk: Support step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis

  • Execution: Involve problem frame-works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan

  • Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability

  • Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management

  • Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business

  • Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills

  • Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment

  • Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus

Basic Qualifications:

  • At least 2 years of professional experience performing analysis

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)

    • A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

  • Master's Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering

  • 1+ years of experience in Statistical model building

  • 1+ years of experience in market research

  • 1+ years of experience in SQL querying

  • 2+ years of experience in business analysis

  • 1+ years of experience in consulting

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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.

Riverwoods, IL: $101,100 - $115,400 for Sr. Business Analyst











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.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

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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