Note: The job is a remote job and is open to candidates in USA. Crédit Agricole Santé & Territoires is seeking a Data Science Vice President responsible for leading the data science function and driving data-informed decision-making across the organization. The role involves defining the data science vision, overseeing advanced analytics, and collaborating with stakeholders to translate strategic objectives into actionable roadmaps.
Responsibilities
- Leading the data science function and driving data-informed decision-making across the organization
- Defining the data science vision, prioritizing initiatives, and overseeing the design and implementation of advanced analytics, statistical models, and machine learning solutions that support health and territorial development projects
- Guiding teams in data acquisition and preparation
- Reviewing analytical methodologies, validating model performance, and ensuring the ethical and compliant use of data
- Collaborating with executive leadership and business stakeholders to translate strategic objectives into actionable data science roadmaps
- Communicating insights in accessible language, and measuring the impact of data-driven initiatives
- Mentoring data professionals, establishing best practices, and continuously improving tools, processes, and governance for analytics and data science activities
Skills
- Strong Analytical Skills and expertise in Data Analytics to interpret complex datasets and inform strategic decisions
- Advanced capabilities in Data Science and Statistics to design, implement, and evaluate robust models and experiments
- Experience in Pattern Recognition and related analytical techniques to identify trends, anomalies, and predictive signals in large datasets
- Leadership experience managing data or analytics teams, with proven ability to set vision, prioritize initiatives, and deliver measurable outcomes
- Excellent communication and stakeholder management skills to explain technical concepts clearly and build alignment at executive and operational levels
- Proficiency in modern data science tools and programming languages (e.g., Python, R, SQL) and familiarity with cloud-based analytics platforms
- Strong understanding of data governance, privacy, and ethical considerations in the use of health and territorial data
- Advanced degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Applied Mathematics, or related discipline) or equivalent experience
Benefits
- Full-time remote role
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