Senior Data Scientist, Data Management

Senior Data Scientist, Data Management role involves leveraging advanced analytical techniques and machine learning models to derive actionable insights from complex data sets. The role requires designing and implementing data models, conducting in-depth analyses, and guiding strategic decision-making across the organization. The ideal candidate will have domain expertise in Revenue Cycle Management processes and proficiency in deterministic and probabilistic linkage concepts/methodologies.

Requirements

• Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights.
• Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making.
• Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes.
• Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement.
• Domain expertise in one or more targeted areas of the Revenue Cycle Management processes.
• Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data.
• Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics.
• Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses.
• Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R.
• Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively.
• Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization.

Benefits

• Various annual leave entitlements
• A range of health insurance offerings
• Competitive retirement planning offerings
• Global Employee Assistance Programme
• Life assurance
• Flexible country-specific optional benefits