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Full Time Data Science Rotational Program Jobs in 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 ...

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 ...

Design and develop data science and machine learning models to optimize operational tactics ... Full-time positions are eligible for paid time off, health, dental, vision, life and disability ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

Design and develop data science and machine learning models to optimize operational tactics ... Full-time positions are eligible for paid time off, health, dental, vision, life and disability ...

Design and develop data science and machine learning models to optimize operational tactics ... Full-time positions are eligible for paid time off, health, dental, vision, life and disability ...

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Showing results 1-20

Full Time Data Science Rotational Program information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

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

As of Jun 25, 2026, the average yearly pay for full time data science rotational program in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What can participants expect in terms of team collaboration and mentorship during a Full Time Data Science Rotational Program?

Participants in a Full Time Data Science Rotational Program typically work on diverse teams across multiple business units, allowing them to collaborate with data scientists, analysts, engineers, and business stakeholders. Each rotation usually includes dedicated mentorship from experienced professionals, who guide project work and career development. This structure provides a supportive environment for learning new tools and methodologies while building a broad professional network. Regular feedback sessions and cross-functional projects are common, giving participants a holistic view of how data science drives business decisions.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to develop and oversee AI systems, requiring skills in programming, statistics, and domain knowledge. The role evolves rather than disappears, emphasizing the importance of continuous learning and adaptation in the field.

Is 40 too late for data science?

Full Time Data Science Rotational Programs often accept candidates of various ages, and starting a career in data science at 40 is possible. Success depends on relevant skills such as programming, statistics, and experience with tools like Python or R, rather than age alone.

Is 30 too late for data science?

The Full Time Data Science Rotational Program is open to candidates of various ages, and starting a career in data science at 30 is common. Success depends on skills, relevant experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What are the key skills and qualifications needed to thrive in a Full Time Data Science Rotational Program, and why are they important?

To succeed in a Full Time Data Science Rotational Program, you typically need a strong background in statistics, programming (such as Python or R), and data analysis, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and experience using databases (SQL) are commonly required. Excellent problem-solving, adaptability, and strong communication skills help you collaborate across diverse teams and effectively present insights. These skills are critical because the rotational structure demands quick learning, versatility, and the ability to deliver impactful data-driven solutions in different business contexts.

Are rotational programs full-time jobs?

Yes, rotational programs, including full-time data science rotational programs, are typically considered full-time employment opportunities. Participants usually work standard hours, receive benefits, and are employed under a formal contract similar to other full-time roles. These programs often provide training and exposure to different areas within a company over a set period.

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

AspectFull Time Data Science Rotational ProgramData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Business, Economics, or related fields
Work EnvironmentRotational assignments across teams, focus on data science projectsFocused on data interpretation, reporting, and visualization
Employer & Industry UsageCommon in tech, consulting, finance; designed for early-career developmentWidely used across industries for data-driven decision making

The Full Time Data Science Rotational Program offers a structured, multi-team experience for early-career professionals aiming to develop broad data science skills. In contrast, Data Analysts typically focus on analyzing and visualizing data within a specific domain. Both roles require strong analytical skills, but the rotational program emphasizes diverse project exposure and skill-building, making it ideal for those seeking a comprehensive entry into data science careers.

What is a Full Time Data Science Rotational Program?

A Full Time Data Science Rotational Program is a structured, entry-level career development initiative offered by many companies, designed to give recent graduates or early-career professionals broad exposure to different areas within data science. Participants rotate through several departments or teams, working on various data-driven projects, such as machine learning, analytics, data engineering, and business intelligence. These programs typically last 1-2 years and provide hands-on training, mentorship, and networking opportunities. The goal is to help participants develop a diverse skill set and identify their preferred area of specialization within data science. Upon completion, individuals are often placed into permanent data science roles within the organization.
What are the most commonly searched types of Data Science Rotational Program jobs in Chicago, IL? The most popular types of Data Science Rotational Program jobs in Chicago, IL are:
What are popular job titles related to Full Time Data Science Rotational Program jobs in Chicago, IL? For Full Time Data Science Rotational Program jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Full Time Data Science Rotational Program jobs in Chicago, IL look for? The top searched job categories for Full Time Data Science Rotational Program jobs in Chicago, IL are:
Infographic showing various Full Time Data Science Rotational Program job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,438 per year, or $60.8 per hour.
Senior Director Data Science

Senior Director Data Science

Health Care Service Corporation

Chicago, IL • On-site

$161K - $299K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.
Join HCSC and be part of a purpose-driven company that will invest in your professional development.
Job Summary
This position is responsible for planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Lead initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis;. Advise business by providing data-based strategic direction to identify and address business issues and opportunities. Plan, manage and lead team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Required Job Qualifications:
* Bachelor's degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field. Leadership and/or management experience.
* 4 years of management experience.
* Learning and growth mindset.
* Customer-focused.
* Interpersonal, verbal and written communication skills.
* Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
* Microsoft applications including Access, Excel, Word and Power Point.
* A track record of independently delivering or leading the delivery of a complex analytics or data science project.
* Mentoring, managing, or leading junior analytics or data science staff.
*Overseeing the annual budget and allocating resources for various projects and operational needs.
*Translating needs and initiatives into compelling business cases.
*Conducting cost-benefit analyses to justify investments and ensure ROI.
Preferred Job Qualifications:
* Masters or Ph.D. in a quantitative field, or Bachelor's degree with healthcare experience.
* Actuarial Credentials
Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!
Pay Transparency Statement:
At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.
The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.
HCSC Employment Statement:
We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.
Base Pay Range
$161,500.00 - $299,700.00
Exact compensation may vary based on skills, experience, and location.