Decision Scientist

Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.

What will you do:

• Acts as a technical expert on complex and specialist subject(s). Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals. Supports or leads projects by applying area of expertise.
• Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes.
• Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets.
• Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions.
• Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions.
• Mentor and coach junior members of the team, providing guidance on technical skills and professional development.
• Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations.
• Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business.

What are we looking for :

• Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field.
• 4-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions.
• Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries.
• Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design.
• Experience working with cloud technologies (especially Azure) is preferred.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.
• Prior experience in a senior-level role is preferred.