(CAN) Senior, Data Scientist - ML Ops Engineering

Position Summary

This role drives a data-driven culture by leveraging diverse data sources to understand customer behavior, improve operational efficiencies, and provide actionable insights for smarter decision-making. The team is creative, diligent, entrepreneurial, and business-focused.

What you'll do

We are seeking an ML Ops Engineering expert to design, build, and operationalize scalable machine learning platforms and deployment frameworks that power AI initiatives across the organization. This role is responsible for ensuring reliable model deployment, monitoring, and lifecycle management, while also enabling secure and compliant hosting environments for AI-powered applications and services.

The ideal candidate brings strong expertise in ML systems engineering, cloud infrastructure, and production deployment practices. In addition to operationalizing ML pipelines, this role will support Data Science teams in deploying model-driven applications—including web-based frontends—within the Walmart technology ecosystem. This includes environment setup, containerization, infrastructure configuration, and navigating required security and governance processes such as SSP documentation and InfoSec reviews.

Working closely with Data Science, Engineering, DevOps, and Security teams, this individual will ensure that ML solutions and associated applications are scalable, secure, compliant, and aligned with enterprise standards. The role plays a critical part in advancing ML operational maturity by strengthening automation, observability, infrastructure best practices, and secure deployment patterns across the organization.

This role involves identifying suitable data sources, performing initial quality checks, and supporting the prioritization of requirements. The role may also conduct exploratory data analysis, design experiments, test hypotheses, and finalize experiment dimensions. Selecting appropriate analytical modeling techniques for structured, complex data and developing custom analytical models is a key responsibility.

Assessment and validation of models by applying best practices for testing and tuning are essential to ensure accuracy, fit, validity, and robustness. This role tests developed software, translates business requirements into projects and tasks, and aligns activities with the overall business strategy. Acting as a conduit between business needs and tangible solutions, this role connects stakeholders with results.

Qualifications

• ML model deployment and lifecycle management, including monitoring, observability, and performance management
• Cloud infrastructure setup and application hosting (e.g., GCP, Kubernetes)
• CI/CD pipelines for ML and application workflows
• Containerization and orchestration (Docker, Kubernetes)
• Security, governance, and SSP / InfoSec compliance processes
• Cross‑functional collaboration with Data Science, Engineering, DevOps, and Security teams

Leadership Expectations

Respect the Individual

Demonstrates and encourages respect for others; drives a positive associate and customer experience for all; embraces differences in people, cultures, ideas, and experiences; supports workplaces where associated feel seen and connected through a culture of belonging, so all associates thrive and perform; contributes to an environment allowing everyone to bring their best selves to work.

Demonstrates engagement and commitment to the team, developing others through feedback, coaching, mentoring, and developmental opportunities; and recognizes others’ contributions and accomplishments.

Builds strong and trusting relationships with team members and business partners; works collaboratively to achieve objectives; communicates with impact and listens attentively to a range of audiences; and demonstrates energy and positivity for own work.

Acts with Integrity

Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving).

Follows the law, our code of conduct and company policies, and encourages others to do the same; supports an environment where associates feel comfortable sharing concerns; reinforces our culture of non‑retaliation; listens to concerns raised by associates and takes action; acts with accountability for achieving results in a way that is consistent with our values.

Is consistently humble, self‑aware, honest, and transparent.

Serve our Customers

Delivers results while putting the customer first and applying an omni‑merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers.

Adopts a broad perspective that considers data, analytics, customer insights, and different parts of the business when making plans.

Strive for Excellence

Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions; supports innovation and intelligent risk‑taking; and exhibits resilience in the face of setbacks.

Implements and supports continuous improvements and willingly embraces new digital tools and ways of working.

Pay Range

The pay range for this position is $91 900,00 - $126 390,00. Pay will be determined based on relevant experience.

L’échelle salariale pour ce poste est de 91 900,00 à 126 390,00. La rémunération sera déterminée en fonction de l’expérience pertinente.

Minimum Qualifications

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

Preferred Qualifications

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

Additional Information

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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Important Note
To support resume screening, interviews and other candidate evaluations, we may use artificial intelligence‑powered tools, including internal or third‑party developed automated decision‑making tools. For more information, please see Walmart Canada Job Applicant Privacy Notice.

Job ID: R-