The Data Scientist collaborates with team members to improve the quality and effectiveness of patient care by leveraging data to generate new knowledge. The Data Scientist must be proficient in employing large scale data analytics to derive actionable insights. Develops descriptive and predictive models, from conception to completion and long-term support. Excellent communication and interpersonal skills are required.
The Data Scientist will interface and collaborate with technical and non-technical team members to accomplish goals and ensure business needs are met. The Data Scientist must have the ability to synthesize novel ideas and flourish in an environment where the need for new analytical capabilities is constant.
Additionally, the Data Scientist Intermediate should have skills to ingest large data sets, clean and process them, land it in database and visualize it. Ability to provide consultative guidance across organization’s business units on how best to utilize data for decision making and building organizational capabilities needed to furthering data as an asset.
Education: Master’s Degree Required. Data Science, Health Informatics, Statistics, Engineering, Computer Science or similar field
Experience: Minimum three years of professional work experience Required. Experience solving analytical problems and building predictive model for healthcare data Preferred. Ability to quickly understand data patterns within large quantities of data and reference key characteristics using visualization techniques
Additional Skills/Requirements required:
Expert knowledge in implementation of descriptive and predictive modeling techniques, data mining, and statistics.
Experience with statistical modeling software such as R, Python, MATLAB, or similar.
Experience with extracting and manipulating data in relational databases like SQL Server, Netezza; expert knowledge of SQL.
Knowledge of data migration and data management tools like SSIS and Talend.
Knowledge of visualization tools – preferably Qlik Sense.
Experience working with cloud based tools like Azure and/or AWS. Ability to drive/travel to multiple locations/facilities as needed.
Additional Skills/Requirements preferred:
Experience with advanced computer science and analysis techniques such as graph theory, machine learning, natural language processing.
Familiarity with Hadoop / MapReduce or similar.
Experience with a programming language such as C++, C#, Python, etc.