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

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Engineering Degree BE/ME/BTech/MTech/BSc/MSc. * Technical certification in multiple technologies is desirable. Skills: - Mandatory skills * Strong Min 8 10 years of overall software engineering ...

New

Sr. Data Scientist

Chicago, IL ยท On-site

$114K - $194K/yr

... Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferred โ€ข Acts as a resource for ...

Sr. Data Scientist

Chicago, IL ยท On-site

$114K - $194K/yr

... Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferred โ€ข Acts as a resource for ...

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Role : Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are ... Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. * Technical certification in multiple technologies ...

New

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Bachelor's degree in Computer Science, Statistics, Data Science or Related Field * MBA/Master's in relevant field preferred * Minimum 6+ years of progressive and related experience. * Proficiency in ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider ...

Data Scientist

Rosemont, IL ยท On-site

$99K - $124K/yr

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Data Scientist

Chicago, IL ยท On-site

$120 - $160/hr

Bachelor's degree with 5+ years of proven technical data science experience OR Master's degree with 3+ years of proven technical data science experience * Degree preferably in statistics, applied ...

New

Showing results 21-40

Data Science Degree information

See Park Ridge, IL salary details

$36.9K

$120.8K

$193.4K

How much do data science degree jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science degree in Park Ridge, IL is $120,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $133,800.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

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

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What are popular job titles related to Data Science Degree jobs in Park Ridge, IL?

For Data Science Degree jobs in Park Ridge, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Park Ridge, IL look for?

The top searched job categories for Data Science Degree jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Data Science Degree jobs?

Cities near Park Ridge, IL with the most Data Science Degree job openings:

Senior Director Data Science

Health Care Service Corporation

Chicago, IL โ€ข On-site

$161K - $299K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 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.