About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Hospitals and Health Care.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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About the Role

Confidential Client is seeking a Data Scientist to join their team in Illinois (IL). This early-career to intermediate role focuses on statistical analysis, machine learning model development, and translating complex data into actionable business insights for healthcare and nutrition-related products. The position is full-time and will work with cross-functional teams to solve business problems using large-scale data systems and modern analytics tools.

• Work location: Illinois (on-site at the client’s facility; remote arrangements not specified)
• Employment type: Full-time
• Salary range (provided by the client): $61,300 – $122,700 per year (actual pay may vary by location and experience)

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What You’ll Do

• Collaborate with cross-functional stakeholders to define business questions and translate them into analytic requirements
• Clean, prepare, and explore large and unstructured datasets for analysis and modeling
• Design, implement, and validate machine learning models and statistical solutions (regression, time-series forecasting, clustering, decision trees, neural networks, etc.)
• Select appropriate algorithms based on trade-offs (scalability, interpretability, performance) and deploy maintainable solutions
• Build analytical datasets using big-data platforms (Hadoop, Spark, MongoDB or similar)
• Produce clear visualizations and reports to communicate findings and recommendations to technical and non-technical audiences
• Mentor and provide guidance to less senior data scientists; contribute to team processes and best practices
• Scope and manage projects of small-to-intermediate complexity, adjusting plans as insights evolve
• Identify opportunities for operational and process improvements driven by data

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Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, or equivalent transferable experience
• 0–3 years of experience (including internships) in data science or analytics roles
• Advanced analytic knowledge in statistics and mathematical programming
• Experience with large-scale data systems and tools (Hadoop, Spark, MongoDB, or similar)
• Proficient programming skills (Python strongly preferred; experience with R, Java, Scala, or C++ a plus)
• Experience applying data analysis techniques to uncover trends, relationships, and business insights
• Business acumen and experience working with operational or strategic systems
• Ability to interpret and extend existing complex scripts and models

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Preferred Qualifications

• Advanced degree (MS/PhD) in Life or Physical Science, Bioengineering, Biomedical Engineering, or closely related discipline
• Prior experience or education in life sciences, healthcare, or nutrition
• Familiarity with advanced modeling techniques, simulation, optimization, and unstructured data analysis
• Experience producing complex, production-ready visualizations and model documentation

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What We Offer

Confidential Client (Hospitals and Health Care) provides career development, competitive benefits, and programs to support your growth, including tuition assistance and retirement plans. The client is committed to an inclusive workplace and offers medical coverage options, retirement savings plans, and learning opportunities.

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Legal & Hiring Notes

• Applicants must be legally authorized to work in the United States; sponsorship is handled according to client policy.
• Confidential Client and Careertakes comply with all applicable federal, state, and local hiring laws. Reasonable accommodations are available for applicants with disabilities during the application and interview process — please contact Careertakes for assistance.
• This posting includes a salary range provided by the client. If you have questions about pay or benefits, Careertakes can help connect you with the client’s recruiting team.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.