Principal Data Scientist

Primary Responsibilities

• Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems
• Lead collaboration with key business stakeholders to develop business solutions based on data-driven insights to solve complex business problems
• Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture
• Create customized summaries, business presentations and documentation for internal business clients based on the results of research
• Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms

Required Qualifications

• 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment
• 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling
• 5+ years of experience providing data-driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools

Preferred Qualifications

• Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems
• Experience working as a project or team lead on the development of data products in a business environment
• Experience working as a key SME to executive or C-Suite stakeholders
• Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP
• Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7