A new opportunity has arisen for the role of VP of Data Science, responsible for leading and expanding in-house analytics capabilities. This pivotal role involves spearheading advanced analytics, machine learning, and Generative AI initiatives to bolster informed investment decisions and drive profitable growth. Key responsibilities include developing the Data Science team, steering technical direction, upholding model standards, and ensuring successful project delivery. The position requires collaboration with investment and portfolio teams to leverage data science effectively across consumer, retail, and multi-unit businesses while building predictive, scalable, and operational models to influence business outcomes. The ideal candidate will possess over ten years of experience in applying data science for business decision-making, with proficiency in Python, SQL, and cloud platforms, particularly GCP. They should have a track record of leading technical teams, managing various initiatives, and engaging with senior stakeholders. Expertise in statistical modeling, machine learning, causal inference, experiment design, and analytics infrastructure is essential. Experience in deploying models that yield measurable business impact, together with strong communication skills and business acumen, allowing for complex analytics to be translated into actionable insights, is necessary. Preferred qualifications include an advanced degree in a quantitative discipline and familiarity with multi-brand organizations or consulting frameworks. This role offers an exciting opportunity to lead enterprise-level analytics and AI efforts across a diverse and high-performing portfolio. The successful candidate will have the chance to build and scale a world-class Data Science function, from strategy formulation to execution, in a fast-paced and entrepreneurial work environment that provides exposure to various brands and business challenges. Candidates must be authorized to work in the U.S. without sponsorship.
