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Data Scientist - Healthcare Analytics
Ref No.: 18-05854
Location: New York, New York
Start Date: 06/05/2018
 Role Overview
Data Scientist will be responsible for the design and development of analysis models for a variety of purposes: the reporting of claims, authorization, and member eligibility data; understanding value propositions; developing insight into member and provider performance and the variables affecting performance. The ideal candidate for this position will come from a healthcare background and is a proactive thinker, self-starter, who enjoys working in a fast-paced and challenging environment with the ability to work independently
  • Participates in the development, validation and delivery of algorithms, statistical models and reporting tools
  • Solves moderately complex analytical problems.
  • Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Explores, examines and interprets large volumes of data in various forms.
  • Performs analyses of structured and unstructured data to solve moderately complex business problems utilizing advanced statistical techniques and mathematical analyses.
  • Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
  • Uses data visualization techniques to effectively communicate analytical results and support business decisions.
  • Creates and evaluates the data needs of assigned projects and assures the integrity of the data.
  • Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
  • Master's or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field from top-tier universities with strong record of achievement
  • 2-5 years of relevant programming or analytic experience.
  • Strong healthcare experience
  • Ability to work with large data sets from multiple data sources.
  • Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization.
  • Effectively resolves problems and roadblocks as they occur.
  • Demonstrates good written and verbal communication skills.
  • Able to present information to various audiences
  • Excellent communication skills with strong background working directly with coworkers and clientele to identify business objectives and establish requirements
  • Worked in a team environment and also coordinated with business/functional team
  • Required Technical Skills
  • R, Python, SAS, SQL, Advanced MS excel, Tableau
  • Knowledge of Hadoop framework encouraged