Sr. Data Scientist

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior 

Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products 

Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning 

Translates real-world Healthcare problems to mathematical frameworks 

Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback 

Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role 

Understands, organizes, and communicates root causes of problems and successes succinctly 

Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods 

Complete familiarity with empirical approaches to estimate performance of machine learning models including:  hold-out sets, cross-validation, leave-one-out testing 

Understanding of orders of algorithms and how they scale 

Demonstrated competency in R/Python predictive modeling 

Demonstrated competency in RDBMS (e.g. SQL Server) 

Ability to code in 1+ general purpose programming language (C#, Java, etc.) 

Must be a quick-learner with the ability to multi-task in a fast-paced environment 

Outstanding presentation abilities and the ability to communicate with all levels of the Business 

Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills 

Outstanding communication and interpersonal skills 

Must possess strong analytical, problem-solving, and writing skills 

Proficient in Microsoft Office applications 

Detail-oriented  

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred 

An aptitude for medical informatics is preferred