[Hiring] Lead Data Scientist @Presbyterian Healthcare Services

Role Description

We are seeking a skilled Lead Scientist to help identify new opportunities for innovative analytics 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 scientists as well as assisting senior leadership in evaluation, development, and implementation of cutting-edge reporting/research/analytics generating actionable insights to meet organizations needs.

Qualifications

• Bachelor’s degree in econometrics, biostatistics, computer science, applied mathematics, engineering, physics, or another quantitative field required; Master’s or Ph.D. highly preferred.
• Eight or more years of experience in business intelligence, statistical analysis, predictive modeling, and business strategy. A relevant Master’s may substitute for 2 years of experience, a Ph.D. for 4 years, and a fellowship for an additional 2 years.
• Demonstrated expertise in machine learning, artificial intelligence (AI), and statistical analysis, including hypothesis testing, experimental/quasi-experimental design, and advanced mathematical modeling.
• Experience developing predictive and analytical models using classification, regression, survival analysis, recommender systems, forecasting, optimization, and A/B testing.
• Strong experience with Python, R, SQL, SAS, and Tableau, relational and NoSQL databases; experience with Hadoop, Spark, Kafka, Storm, graph databases, or other big data technologies preferred.
• Strong knowledge of healthcare data and healthcare analytics and industry standards, including HL7, FHIR, LOINC, ICD-9/10, CPT, DRGs, and ETGs.
• Experience leading complex healthcare analytics projects, including ETL, data cleansing, data mapping, business intelligence (BI), and development of data-driven strategies that improve business decisions and operational performance.
• Strong executive-level communication and presentation skills, with the ability to translate complex analytics into clear recommendations and present solutions to senior and C-suite leadership.

Requirements

• Proficiency with SAS or similar analytics software and data visualization tools such as Tableau or Power BI.
• Demonstrated expertise across multiple healthcare analytics domains, such as risk adjustment, clinical program effectiveness, and care management analytics.
• Experience providing analytical mentorship to analysts and scientists, including guidance on the use, interpretation, and integration of advanced analytical models.
• Experience developing strategic, proactive, self-service analytics solutions and translating analytical insights into actionable business strategies.
• Advanced experience analyzing clinical, financial, and administrative data for exploratory and hypothesis-driven studies.
• Strong presentation and communication skills, with the ability to translate complex analytical findings into clear, actionable insights for senior leadership and diverse audiences.

Benefits

• Comprehensive benefits package including medical, dental, vision, short-term and long-term disability, group term life insurance, and other optional voluntary benefits.
• Employee Wellness rewards program designed to provide engaging opportunities to enhance health and activate well-being.