(CAN) GT - Senior Data Scientist - Conversational AI

Walmart Canada

Toronto, Ontario, Canada



Nov 13

Position Summary...

The Senior Data Scientist represents the foundation of a data driven culture that has made Wal-Mart a leader in the retail industry. The incumbent in this role will use a wealth of ecommerce, physical store and external data available to understand customer behavior improve operational efficiencies and provide actionable insights to stakeholders so they can make smarter, data-driven decisions.

The successful candidate will have an established background in solving complex problems, a strong technical ability, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment. Our team is small, creative, diligent, highly entrepreneurial and business-focused.

The Senior Data Scientist is constantly improving modelling and analytical capabilities by staying up to date on latest developments and techniques. The individual is creative and comes up with original new ways of approaching problems to improve data science and business outcomes.What you'll do...

About Walmart Global Tech

Imagine working where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations.

Who We Are

Join Walmart and your work could help approximately 220 global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. Our mission spreads far beyond the walls of our stores. Here at the world’s leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability and community involvement. careers.walmart.com.

The Cortex team is the core A.I. platform powering the vision of delivering the world's best intelligent personal assistants to Walmart's 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, Google Assistant,etc.), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes.

Interested in diving in?

We need passionate and seasoned NLU 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.

Here are some of our team publications:

- "Building a conversational assistant platform for voice-enabled



- "Using Context to Improve Intent Classification in Walmart’s

Shopping Assistant"


- "Making Walmartart's Shopping Assistant Proactive"


Papers & Talks:

- Semantic Representation and Parsing for Voice eCommerce (Paper and

Talk) - Vivek Kaul, Shankara B Subramanya, R2K Workshop at KR 2018

- Knowledge Graphs for AI-Powered Shopping Assistants, GraphConnect

2020, Ghodrat Aalipour, Mohammed Samiul Saeef


- Improving Intent Classification in an E-commerce Voice Assistant

by Using Inter-Utterance Context (Paper + Talk) - Arpit Sharma,

e-Commerce & NLP at ACL 2020


Minimum Qualifications

  • 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.
  • Familiarity and ideally experience with more recent deep ML models and NLU (e.g., Transformers, BERT, Electra, T5).
  • A business analytical mind; ability to communicate with consumers of the model and present results in intuitive ways.
  • Experience analyzing data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
  • Ability to take a project from scoping requirements through actual launch.
  • A continuous drive to explore, improve, enhance, automate, and optimize models and products.
  • Excellent oral and written communication skills.
  • Bachelor's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field.

Preferred Qualifications

  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
  • Strong attention to detail and exceptional level of organization
  • Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment
  • 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.
  • PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)

The above information has been designed to indicate the general nature and level of work performed in the role.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Age – 16 or olderPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

Primary Location…

1940 Argentia Rd, Mississauga, ON L5N 1P9, Canada

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