Principal Data Science Specialist

Essential Duties

Include but are not limited to the following :

• Apply machine learning, deep learning, and artificial intelligence techniques.
• Use advanced analytics methods to extract value from business data.
• Perform large-scale experimentation and build data-driven models to answer business questions.
• Create hypotheses and experiments to identify hidden relationships and construct new analytics methods.
• Develop and implement Markov decision process models and healthcare economic models.
• Visualize information and develop reports on results of data analysis.
• Influence product teams through presentation of data-based recommendations.
• Spread best practices to analytics and product teams.
• Implement new tools to make data analysis more efficient.
• Ability to communicate complex results to technical and non-technical audiences.
• Excellent verbal and written communication skills.
• Support and comply with the company’s Quality Management System policies and procedures.

Minimum Qualifications

including solving complex business problems, predictive modeling, leveraging both structured and unstructured data sources, relational databases, and SQL.

Preferred Qualifications