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Victoria’s Secret & Co. in Bengaluru, India is seeking a Data Scientist to lead machine learning model development and AI solutions across ecommerce, marketing, merchandising, and supply chain.
You will partner with senior stakeholders to design, build, and deploy production-grade data science solutions, including Agentic AI, LLMs, forecasting, and recommender systems, while adhering to MLOps, agile practices, and scalable software engineering.
Data Sciences & Analytics is a global CoE team, incubated within Victoria’ Secret & Co. (VS&Co), building the best-in-class suite of Data Science & Analytics Products that power the best shopping experience for our customers, and deliver actionable, customer-centric insights to our ecommerce, marketing, merchandising and supply chain teams enabling better business decisions on omni channel (digital + store) 360 performances.
The data scientist will play a technical role in architecting data science solutions working with senior team members & business stakeholders to deliver outstanding business outcomes for problems across VS&Co:
Deliver data science CoE projects from India; Engage & collaborate with business & technology partners. Communicate progress to all stakeholders.
Design the development of solutions that leverage data sciences & advanced analytics to develop required business solutions.
Perform deep exploratory analysis on large scale customer data, identify shopping & interaction patterns, discover price elasticity & price sensitivity behaviors and build lifecycle models for targeting customers towards loyalty.
Build conversational agents to deliver faster insights that drive customer strategy on acquisition, retention & growth.
Evaluate, recommend, & implement state-of-the art algorithms and methods.
Knowledge of MLOps practices.
M.S. or PH.D. in Computer Science, applied mathematics, statistics, physics, operations research, quantitative social sciences or related fields will be preferred.
3+ years after Bachelors of relevant experience in data scientist & analytics role preferably in retail domain.
Strong programming skills. Expert level proficiency in Python, SQL.
Strong written & verbal communication skills. Ability to communicate complicated statistical analytical concepts & solutions to business stakeholders in a simplified comprehensible manner.
Excellent presentation skills & ability to shape course of action through persuasion & negotiations.
Collaborate actively with topic owners to understand and develop advanced analytics / data science
Experience designing algorithms for a relevance system such as a personalized tool, search/ranking, recommendations, forecasting, marketing, loyalty, etc.
Strong engineering mindset and exposure to software engineering principles, Agile methodologies, distributed systems and applied Machine Learning.
Experience building Agentic AI systems and hands-on exposure to LLMs, prompt engineering, LLM evaluation frameworks and end-to-end Agentic AI production expertise.
Solid experience working with state-of-the art supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce and retail domains.
Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions.
Experience playing the role of full-stack data scientist and taking solutions to production.