American Academy of Orthopaedic Surgeons (AAOS) · 1 week ago
Advanced Analytics & Data Science Engineer
American Academy of Orthopaedic Surgeons (AAOS) is a purpose-driven organization seeking an Advanced Analytics and Data Science Engineer to shape the future of healthcare. The role involves designing and implementing predictive models, collaborating with stakeholders, and driving data-informed strategies across various departments to deliver greater value to the orthopaedic community.
Health CareMedical DeviceWellness
Responsibilities
Lead the development of machine learning algorithms, statistical models, and AI-driven solutions to solve complex business challenges
Collaborate with stakeholders to identify opportunities
Analyze large datasets
Deliver intelligence that drives smarter decisions
Communicate technical findings in a clear, business-focused manner
Align data initiatives with organizational goals
Qualification
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
Preferred
Experience with healthcare or medical associations, Agile methodologies, and cloud platforms like Microsoft Azure
Familiarity with data visualization tools (Power BI or similar)
Company
American Academy of Orthopaedic Surgeons (AAOS)
Founded at Northwestern University as a not-for-profit organization in 1933, the AAOS has grown into the world's largest medical association of musculoskeletal specialists.
Funding
Current Stage
Growth StageLeadership Team
Recent News
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2025-10-24
2025-09-12
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