Bachelor’s degree in an econometrics, physics, biostatistics, computer science, applied mathematics, engineering or any other quantitative related subject area. A Masters or a Ph.D. is highly preferred. Eight or more years of related business intelligence, statistical/mathematical, predictive modeling along with the business strategy experience required. Understanding of natural language processing, machine learning, conceptual modelling and hypothesis testing. Experience managing complex healthcare projects with diverse teams and developing data driven and outcome based strategies to improve business decision making and operational efficiencies. Strong knowledge of healthcare industry and healthcare information standards such as HL7, LOINC, FHIR, ICD 9/10 and CPT codes, industry standard groupers (e.g., ETGs, DRGs, DCGs, etc.) as well as demonstrated understanding of health care delivery system processes. Experience in big data technologies such as Hadoop, Spark, Kafka, Storm, R, Python, SQL, no-SQL databases, database analytics and graph databases is a PLUS. Adept in using BI tools (e.g., Business Objects/BO, Cognos), data visualizations tools (e.g., Tableau), statistical software such as SAS and general health service research and reporting/analytics. Understanding of extract transform and loading (ETL), data cleaning, data normalization/mapping and business process management (BPM) is expected. Expertise in mathematical modeling skills including but not limited to classification, regression, survival analysis, recommender systems, experimentation systems (A/B testing), hypothesis testing and developing mathematical algorithms.
Identify new opportunities for innovative analytics (i.e., descriptive, prescriptive and predictive) based on market developments & business demands as well as manage analytical projects in concert with other Directors within the Analytics Organization (AO). Collaborate across the organization to perform exploration and experimentation to build prototypes and develop analytical solutions best practices Guide the development of new analytical models to support real time and data driven business decision making. Responsible for mentoring and supporting fellow junior scientist as well as assisting senior leadership in evaluation, development and implementation of cutting edge reporting/research/analytics generating actionable insights to meet organizations needs
Healthcare Services is a drug-free and tobacco-free employer with smoke free campuses.