The role involves working within a global research and development team to create and deploy statistical, machine learning, and artificial intelligence methodologies. The individual will own the entire lifecycle of research projects, from conceptualization and design to prototyping, documentation, and monitoring. Collaboration with operations, technology, and internal stakeholders is required to ensure project objectives are met. The position also entails delivering high-quality documentation of new methodologies and best practices. Furthermore, the role requires participating in multiple projects simultaneously while maintaining rigorous scientific standards.

Candidates must hold a Master’s or Doctorate degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field. A minimum of 7 years of relevant experience is required, along with expertise in programming, software engineering, and statistical analysis. Proficiency in Python, large-scale databases, and CI/CD best practices is essential. Additionally, the role requires strong communication skills and the ability to work effectively in a virtual environment.