Lead Data Scientist

Victoria's Secret; New York (NY); Presencial; USD 180 000 - 260 000; Tempo integral

Resumo da oferta

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

Responsabilidades

• 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.

Descrição da oferta de emprego

YOUR ROLE

The Lead Data Science Consultant will be a seasoned data science leader in the customer & marketing areas partnering effectively with enterprise marketing & customer insights teams to scale AI & data science capabilities, build Agentic decision-support tools with measurable operational impact and drive AI adoption. He/she shall play a hands-on technical role in building and architecting data science solutions by working with junior team associates. He/she would be a data science consultant collaborating closely with the VP, Data Science & core business stakeholders to deliver outstanding business outcomes for problems within the customer & marketing areas:

1. MarTech data foundations, journey optimizations, lifecycle modeling,and agentic AI activations for path to loyalty,
2. Customer segmentations on loyalty/value, price sensitivity, brand/category/product affinities,
3. A/B testing, measurement frameworks & Causal modelling,
4. Personalization & recommendations - personalize through the right channel, with the right content for the right product,
5. Lookalike, affinity, CLV & propensity models,
6. Generative AI initiatives. You will work directly on the data science & AI problems that have the most impact on VS&Co's digital e-commerce and customer/marketing areas.

YOUR IMPACT

• 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.