Position Summary...

This role forms the foundation of a data-driven culture, leveraging ecommerce, physical store, and external data to understand customer behavior, improve operational efficiencies, and provide actionable insights for smarter, data-driven decisions.

What you'll do...

This role will lead the data science development process with hands-on analysis and modeling, utilizing various analytical methods to address business challenges appropriately. Articulating business questions and using mathematical techniques to derive answers from data, the role also translates analysis results into business recommendations.

This will identify and communicate challenges and opportunities for the data science team, helping define the analytical direction and influencing associated engineering and infrastructure work. Ad-hoc analyses may be performed, with results presented concisely and persuasively to stakeholders.

Creating production-ready code for deployment into clusters or other APIs, the role determines the necessary tracking for enabling products and features by collaborating closely with product, marketing, operations, and engineering partners. Additionally, the role engages broadly to identify, prioritize, frame, and structure complex challenges where advanced analytics projects or tools can have significant impacts. work closely with ML engineers for prod deployment and enabling data drifts

This role also builds metrics, reports, and dashboards embedded with data science algorithms using various visualization tools. Enabling others to utilize the work, the role acts as an ambassador for data science within the organization.

Qualifications:

Minimum:

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in Data science related field.

Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in Data science related field.

Option 3 - 5 years' experience in an analytics or Data science field.

Preferred:

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).

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.

The pay range for this position is $74,000.00 - $101,750.00. Pay will be determined based on relevant experience.

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L’échelle salariale pour ce poste est de 74,000.00 à 101,750.00. La rémunération sera déterminée en fonction de l’expérience pertinente.

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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.

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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R-2435627