Lead Data Scientist

Education: Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master’s Degree in Data Science preferred., * Seven (7) years of experience in data science is required

• Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred
• Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
• Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Ability to communicate, gather requirements and execute storytelling with data
• Possesses advanced level knowledge of the data science project life cycle
• Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools
• Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills
• Demonstrates proficiency in identifying and seeking needed information to perform problem/situation analysis
• Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
• Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
• Advanced understanding of SQL database management tools
• Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques
• Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
• Ability to work under minimal supervision in a fast-paced multidisciplinary environment
• Advanced knowledge of data science methods - time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
• Superior customer service in the form of first-rate work products and project management
• Strong ability to manage challenging client situations
• Strong ability to troubleshoot and recommend solutions
• Strong ability to translate complex information for a wide range of stakeholders