Coordinate design & execution of machine learning & causal inference models to support omnichannel engagement. Develop predictive analytics solutions using large-scale healthcare datasets. Build statistical models & data maps, collaborate with business teams to apply BI & advanced analytical methods. Analyze data to identify patterns & insights using Hadoop, AWS, Azure, R, Tableau, Teradata, Snowflake, PySpark, Spark SQL, GIT. Participate in full data warehouse lifecycle, including data sourcing, ETL processes, transformations, development of multidimensional models (data marts, star schemas) & reporting. Education and Experience required: Masters degree in Information Technology or Analytics or Computer Science or IS plus 2 years experience in job offered or as Data Scientist or Analyst or Business Intelligence. In lieu of Masters degree and 2 years experience will accept Bachelor's degree in Information Technology or Analytics or Computer Science or IS plus 5 years progressive experience in job offered or as Data Scientist or Analyst or Business Intelligence. Prior work experience must include 2 years experience in Hadoop, AWS, Azure, R, Tableau, Teradata, Snowflake, PySpark, Spark SQL, GIT. The job offer is in New York, NY and unanticipated client sites across the US. Must be willing to travel and/or relocate domestically.
