Nice is building a better health system by making healthcare accessible and improving care quality. The Senior Data Scientist will drive strategy within core business and commercial operations by tackling complex challenges in client activation, client churn, and business performance.
Requirements
- Deep expertise in SQL and statistical programming (e.g., Python, R).
- Proven experience with statistical and predictive modeling techniques (e.g., regression, classification, forecasting) and their practical application to business problems.
- Demonstrated ability to lead complex analytical projects from start to finish with a high degree of autonomy.
- Experience working with and contributing to data pipelines (ETL/ELT), partnering with data engineering to ensure data quality.
- Extensive experience with a modern BI tool like Looker or Tableau.
Responsibilities
- Architect and own sophisticated models to solve our most critical commercial challenges, from mitigating client churn and activating clients to member onboarding and engagement.
- Conduct deep-dive analyses to identify the root causes of business challenges and present strategic recommendations to senior leadership.
- Partner with department leaders to define, measure, and monitor Key Performance Indicators (KPIs), building and maintaining advanced dashboards in Looker that provide actionable insights.
- Lead complex, cross-functional data projects from initial scoping and analysis through to final recommendations and implementation.
- Autonomously tackle ambiguous business problems, turning them into clear, data-driven project plans with a high degree of accuracy and quality.
- Serve as a trusted data partner for our Commercial teams, building a deep understanding of their challenges and objectives.
- Advocate for data quality best practices, collaborating with stakeholders to improve data instrumentation and validation at the point of collection.
Other
- 5+ years of experience in a data science or data analytics role.
- Bachelor's degree in a quantitative field such as Statistics, Computer Science, Economics, or a related discipline; Master's degree is a plus.
- Strong business acumen and a passion for solving real-world operational problems.
- Excellent communication skills, with experience presenting complex findings to senior leadership.
- Must reside in the US.
