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Company Overview
A leading healthcare analytics organization seeks a Senior Data Scientist to transform healthcare operations through advanced data science and analytics solutions. The organization specializes in actuarial and analytics services, focusing on medical economics, payment integrity, and finance. Its mission is to support healthcare decision-making with data-driven insights and predictive modeling.
Summary
The Senior Data Scientist will lead high-value workstreams within the Actuarial and Analytics Solutions (AAS) department, guiding projects through all phases—from ideation and design to build and deployment. The role involves advanced modeling and analytics to support healthcare operations and finance, as well as mentoring junior data scientists and analysts.
Responsibilities
Lead research, design, and implementation of data science solutions to meet current and future business needs
Anticipate and provide strategies for complex data problems or trends
Evaluate and design innovative approaches and methodologies to improve efficiency and solve business challenges
Utilize statistical techniques to conduct advanced measurements on messy or noisy data
Synthesize internal and external data to produce meaningful observations and actionable recommendations
Design, build, and launch new predictive models and data pipelines
Manage delivery of impactful dashboards and data visualizations
Maintain knowledge of emerging trends and technologies, collaborating with management to incorporate new developments
Coordinate with departmental leaders to ensure consistency in data trends, especially across medical economics, pricing, financial planning, and informatics
Effectively communicate customized analysis and financial impact to senior leadership
Qualifications
Deep understanding of healthcare delivery systems, health plan operations, medical economics, trend management, pricing, forecasting, and provider payment methodologies
Experience with machine learning algorithms, statistical techniques, data interpretation, and predictive model deployment
Proven ability to communicate effectively at all organizational levels
Ability to manage multiple competing priorities in a matrix environment
Creative problem-solving skills with strategic thinking and execution capability
Proficiency with data analysis and modeling software: Python, SQL, Tableau, R, SAS, etc.
Familiarity with modern data and analytics technologies on cloud platforms (Snowflake preferred)
Experience working in Agile environments and partnering closely with IT
Minimum five years of healthcare experience in analysis, design, development, and delivery of data solutions; direct experience with claims data is a major plus
BA/BS required; MS, MPH, or PhD in a relevant field may substitute for work experience
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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