Senior Data Science & AI Strategy Lead

Victoria's Secret & Co.; New York (NY); Sur place; USD 180 000 - 260 000; Plein temps

Résumé du poste

Victoria's Secret & Co. in New York seeks a Lead Data Science Consultant to lead data science initiatives in customer & marketing, partnering with enterprise marketing & customer insights teams to scale AI capabilities and build agentic decision-support tools with measurable operational impact.

The role is hands-on, guiding junior team members, working with the VP of Data Science and stakeholders to deliver business outcomes across loyalty, personalization, A/B testing, segmentation, and

Responsabilités

• Partner effectively with customer, marketing & digital teams to scale shared AI/ML capabilities across the company, build decision-support tools with measurable operational impact and drive AI adoption.
• Engage with cross-functional partners (marketing ops, digital merchants, customer analytics, etc.) to translate use cases into data science & AI problem statements.
• Build conversational AI agents to deliver faster insights that drive customer strategy on acquisition, retention & growth.
• Partner across enterprise and build/deploy AI agents for strategic enterprise priorities.
• Deliver ML models with strong performance, high reliability, and measurable business impact; ensure solutions are usable, measurable, and trusted by front-line teams.
• Conduct design reviews and solution reviews, represent data science at the enterprise technical council to drive scalable architectures and agentic AI commerce solutions.
• Collaborate and implement the overall data science strategy for strategic enterprise initiatives. Evaluate, recommend, & implement state-of-the-art algorithms and methods with measurements at scale.

Description du poste

Victoria's Secret & Co. in New York seeks a Lead Data Science Consultant to lead data science initiatives in customer & marketing, partnering with enterprise marketing & customer insights teams to scale AI capabilities and build agentic decision-support tools with measurable operational impact.

The role is hands-on, guiding junior team members, working with the VP of Data Science and stakeholders to deliver business outcomes across loyalty, personalization, A/B testing, segmentation, and