You are ready to turn data into decisions that shape the future of healthcare. Join a purpose-driven organization where your expertise in data science, machine learning, and advanced analytics will make a meaningful impact on the orthopaedic community. As an Advanced Analytics and Data Science Engineer, you’ll play a pivotal role in designing and implementing predictive models, uncovering actionable insights, and driving data-informed strategies across Membership, Marketing, Education, and our Annual Meeting. Your work will spark innovation, elevate member experience, and help us deliver greater value to the professionals we serve.

If this sounds like you, please read on!

In this role, you’ll lead the development of machine learning algorithms, statistical models, and AI-driven solutions to solve complex business challenges. You’ll collaborate with stakeholders to identify opportunities, analyze large datasets, and deliver intelligence that drives smarter decisions. Your ability to communicate technical findings in a clear, business-focused manner and align data initiatives with organizational goals will be essential to your success.

Travel: Up to 5 days per year

Qualifications: Required:

• Strong foundation in data science, AI/ML, and advanced analytics (Bachelor’s required, Master’s preferred)
• 7+ years of experience in data analysis and modeling, including 5+ years applying machine learning techniques in real-world scenarios
• Hands-on expertise in Python, R, SQL, and ML frameworks such as Scikit-Learn or TensorFlow
• Experience with statistical modeling, A/B testing, forecasting, and anomaly detection
• Ability to translate ambiguous business problems into clear, data-driven solutions

Desired:

• Experience with healthcare or medical associations, Agile methodologies, and cloud platforms like Microsoft Azure
• Familiarity with data visualization tools (Power BI or similar)

Salary Range: $105,000 ‒ $115,000, depending on qualifications and experience.

Ready to make an impact? Your next big opportunity starts here! Apply now and help us turn data into decisions that matter. Please share the following:

• Clearly communicate why you are the ideal candidate for this role, providing specific examples and experiences as proof points.
• Resumes must be accompanied by a cover letter with salary expectations to be considered.

Please note: This position is based in Rosemont, Illinois and is open to applicants who are able to commute at least twice per week to this office. Applicants must already be authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of work visas.

JOB CODE: 1000148