Lead data science projects from inception to completion
Utilize statistical techniques and machine learning algorithms to uncover patterns and trends within large datasets
Design, build, and refine advanced machine learning models
Translate data insights into actionable strategies
Ensure data integrity and quality by establishing data governance practices and standards
Work closely with cross-functional teams to understand business needs
Guide and mentor junior data scientists
Requirements
Bachelor's Degree required
5 or more years of experience using SQL, R or Python in analytics required
Previous experience with data mining, analytical methods, data visualization, data storytelling and extracting value from large datasets required
Experience with healthcare data use in Predictive Analytics preferred
Epic certification/accreditation required within 6 months of hire or within 3 months of class completion including: Cogito Fundamentals, Clarity Data Model, Caboodle Data Model, Access Data Model, Revenue Data Model, Clinical Data Model, Cognitive Computing Model
Strong communication skills
Expert analytical skills
Strong problem-solving skills
Strong experience with Python, R, SQL
Strong experience with cloud data warehousing environments
Expert understanding of analytical methodologies
Able to build dashboards using Tableau or similar BI tools.