Sr. Data Scientist

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design information and user behavior

Worksclosely withApplication Engineering teams to gather and process data,as well as in surfacing variousanalytically-basedfeatures in core products

Workson groundbreaking new applications of machine learning and analytic technology toHealthcare, producing quantitative, justifiable results to guide feature planning

Translatesreal-worldHealthcare problems to mathematical frameworks

WorkswithProductManagement,Marketing,andSales 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 largedata-setsand validating results will be common tasks for this role

Understands, organizes, and communicatesroot causes of problems and successessuccinctly

Complete familiarity with various statistical and machine learning techniquesincluding: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. SQLServer)

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 communicatewithall levels of theBusiness

Comfortable working innewly-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 aptitudefor medical informatics is preferred