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Walmart Canada · 18 hours ago

Senior, Data Scientist – Conversational AI

(USA) Bentonville Global Tech AR BENTONVILLE Home Office

Full-time

Onsite

Senior Level

$117K/yr - $234K/yr

5+ years exp

Walmart Canada is seeking a Senior Data Scientist for their Cortex Team, which focuses on developing AI conversational platforms. The role involves enhancing Natural Language Understanding services and creating innovative, mission-critical products that improve customer interactions through multi-modal experiences.

DeliveryRetailShopping

No H1B

Responsibilities

Cortex Team is Walmart's core A.I. conversational platform, powering the vision of delivering the worlds best personal assistants to Walmarts customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences

We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experiences both online and in-store

We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from pure voice and text shopping assistants (Siri, Sparky), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes (Me@Walmart)

We need passionate and seasoned NLP data-scientists to help us improve and evolve our capabilities, taking into account the full conversational context, multi-modal interactions, and an ever increasing list of use cases

Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission critical product, driven by data-science, used every day, by people you know, and which customers love

As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc

Qualification

Natural Language UnderstandingDeep Learning ModelsGenerative AI SystemsPythonSQLClassical ML ModelsStatistical MeasuresCommunicationAttention to DetailCollaboration Skills

Required

Master's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field

Extensive experience with NLU/NLP, more recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) and safe fine-tuning of these

Extensive experience in designing, developing and deploying end-to-end Generative AI systems using transformer-based LLM architectures (both open source and close source)

Experience with Python; solid knowledge SQL

Hands on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance

Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets

Experience analyzing conversational data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation

A continuous drive to explore, improve, enhance, automate, and optimize models and products

Excellent oral and written communication skills

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field

Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field

5 years' experience in an analytics or related field

Preferred

PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)

Experience developing multimodal solutions for Generative AI and related applications at scale

Exposure to real-world, production grade agentic systems

Familiarity with LLMs serving optimizations and multi-LoRa

Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between

Strong attention to detail and exceptional level of organization

Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment

Data science, machine learning, optimization models, Master's degree 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

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

Benefits

Health benefits include medical, vision and dental coverage.

Financial benefits include 401(k), stock purchase and company-paid life insurance.

Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.

Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.