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Walmart Canada · 5 months ago

Director, Data Science - Agent-Led Engagement in Conversational Commerce

United States

Full-time

Remote

Director/Executive

$169K/yr - $338K/yr

8+ years exp

Walmart Canada is part of Walmart Inc., a leading global retailer, and they are seeking a Director of Data Science for Agent-Led Engagement in Conversational Commerce. The role involves leading a team to develop models that enhance customer engagement through intelligent conversational agents, combining traditional machine learning with large language models to create personalized interactions.

DeliveryRetailShopping

Responsibilities

Lead and grow a team of applied scientists focused on proactive engagement within the conversational agent

Develop models that identify opportunities to initiate or extend conversations based on user behavior and intent

Build systems to suggest relevant topics, journeys, or actions, grounded in customer history and ongoing conversation

Combine LLMs with traditional ML to model both short-term context and long-term memory for personalization

Define strategies for building, storing, and evolving customer profiles as persistent memory for LLM-based decisioning

Partner with product and UX teams to surface proactive suggestions in a natural, timely way during conversations

Establish and track metrics for engagement, relevance, and long-term customer impact

Align with other data science pillars to ensure consistency in agent behavior, quality, and personalization

Qualification

Data ScienceMachine LearningLarge Language ModelsTeam LeadershipBehavioral ModelingUser Profile BuildingConversational CommerceTechnical JudgmentCommunicationCross-Functional Collaboration

Required

8+ years of experience in data science or applied machine learning

5+ years leading teams developing ML-powered customer engagement or personalization systems

Deep knowledge of large language models (LLMs) and their use in dialogue, decisioning, and personalization

Experience combining LLMs with traditional ML approaches for behavioral modeling or targeting

Expertise in building user profiles from structured and unstructured data, and using them for recommendation or ranking

Proven ability to build systems that personalize interactions based on customer history and real-time signals

Strong communication skills, with the ability to drive clarity across engineering, product, and experience teams

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field

Option 3: 8 years' experience in an analytics or related field

Preferred

Advanced degree in Computer Science, Machine Learning, or a related field

Experience in conversational commerce, personalized assistants, or task-oriented dialog systems

Familiarity with long-context LLM applications, memory architectures, and personalization infrastructure

Knowledge of reinforcement learning or contextual bandits applied to engagement optimization

Demonstrated ability to launch ML-powered product features that improved engagement, retention, or satisfaction

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics

Successful completion of one or more assessments in Python, Spark, Scala, or R

Supervisory experience

Using open source frameworks (for example, scikit learn, tensorflow, torch)

We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly

The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture