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The Role:
The ideal candidate possesses a strong theoretical foundation in statistical analysis, machine learning, simulation, econometrics, optimization, data platforms, and artificial intelligence and product development. Given the dynamic nature of data analytics and AI, a commitment to continuous learning and upskilling and being hands-on is essential. This role requires a blend of technical expertise, hands-on experience, strategic thinking, and strong leadership skills.
As a Data Science Manager, you will
· lead a multi-disciplinary team of data scientists, machine learning engineers, product designers, data engineers, and software engineers through the entire lifecycle of complex analytical and AI/ML projects.
· provide technical leadership and be hands-on from concept to deployment.
· collaborate across GDI&A functions and partner with business stakeholders to drive strategic outcomes.
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