Architect Data Science

Why You Belong Here

At Victoria’s Secret & Co, you’ll join a world-leading specialty retail brand recognized globally for innovation and excellence in lingerie and fashion. You’ll work alongside industry leaders to set the standard for what a retail brand can achieve, placing customers at the center of everything we do to create products and experiences that bring them joy.

We believe everyone deserves a place where they truly belong. We celebrate individuality and know that your passion, experience, and unique perspective strengthen our team and business. Here, you’ll be empowered to perform, grow, and engage through unmatched opportunities to develop your skills, gain real-world experience, and learn from the best in the business.

The Architect Data Scientist will be a seasoned technical leader playing a hands-on technical role in building and architecting data science solutions by working with junior team associates; he/she would be a core strategic technical partner collaborating closely with the VP, Data Science & core business stakeholders to deliver outstanding business outcomes for problems across VS&Co:
•You will be leading the AI technical implementation strategy, ML formulation and end-to-end model lifecycle of machine learning models on:
1.customer segmentations, lookalike, affinity, CLV & propensity models,
2.A/B testing, measurement frameworks & Causal modelling,
3.NLP, LLMs & embeddings, GenAI chat-bots,
4.time-series forecasting & anomaly detection,
5.optimization and recommendation systems.
You have a deep interest and passion for technology.

You love writing and owning codes and enjoy working with people who will keep challenging you at every stage.

You have strong problem solving, analytic, decision-making, and excellent communication with interpersonal skills.

You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.

You will work directly on the AI problems that have the most impact on VS&Co's digital e-commerce, customer/marketing, omni-channel, entire supply chain, forecasting and merchandising.

Responsible for creating robust and scalable data science & AI solutions that drive impact across the enterprise.
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 customer modelling and strategic marketing initiatives. Evaluate, recommend, & implement state-of-the art algorithms and methods with measurements at scale.
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.

Setup the best MLOps practices.

Engage & collaborate with business & technology partners. Communicate progress to all stakeholders.

Mentor junior members of the team and help drive technical rigor on all aspects of data science & ML solutioning.

EDUCATION

11+ years of relevant experience in data scientist & analytics role preferably in retail domain.
Strong understanding of computer technology with strong programming skills. Expert level proficiency in R, 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.

Machine Learning, Python, Big Data Skills, R, Statistics
•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.