Senior Data Scientist – Work Remotely!

Location: Woodland Hills, CA
Date Posted: 10-03-2018
Our client, a specialist in healthcare systems, is hiring a Senior Data Scientist for their Woodland Hills, CA office.   You also have the opportunity to work remotely from locations within the U.S.
In this position, you will be responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes.
Responsibilities include:
  • Performing analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs.
  • Designing and developing data models to predict member outcomes or future impact of key member decisions.
  • Designing and constructing analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.
  • Conducting exploratory data analysis from complex data sources and build key data sets to support the company’s mission.
  • Evaluating and designing experiments to monitor key metrics and identify improvement opportunities.
  • Developing mathematical and statistical models to distinguish relevant content or events and recognize patterns.
  • Participating in presentations and communicate results of research analysis and findings.
  • Participating in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.
  • Validating and measuring the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data.
  • Managing multiple projects as assigned and assist with training data analysts.
  • Development efforts with technical team liaisons, including gathering business requirements, documentation, testing, delivery and user adoption, and communicate expectations to the Health Plan.
  • MS in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering or  Experimental Science with 5+ years of experience or Bachelor’s degree and 7+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
  • Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL.
  • Clinical, quality management or healthcare related experience
  • Data analysis experience
  • Utilization management and/or case management
The company offers an excellent compensation, along with interesting, challenging projects and an opportunity to make a real difference.

Apply today!
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