About the role
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 may 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 role may 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 such as Tableau and RShiny. Enabling others to utilize the work, the role acts as an ambassador for data science within the organization.
Minimum Qualifications: 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).
Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Age – 16 or older
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
Are you currently a Walmart associate? Please login to your Workday account and use the Find Jobs report to apply for this job.
- Find Jobs
R-2246709
About Walmart Canada
Walmart Canada operates a chain of more than 400 stores nationwide serving 1.5 million customers each day. Walmart Canada's flagship online store, Walmart.ca is visited by more than 1.5 million customers daily. With more than 100,000 associates, Walmart Canada is one of Canada's largest employers and is ranked one of the country's top 10 most influential brands. Walmart Canada's extensive philanthropy program is focused on supporting Canadian families in need, and since 1994 Walmart Canada has raised and donated more than $750 million to Canadian charities. Additional information can be found at walmartcanada.ca and on Walmart Canada’s social media pages – Facebook, X, Instagram and LinkedIn.
About the role
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 may 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 role may 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 such as Tableau and RShiny. Enabling others to utilize the work, the role acts as an ambassador for data science within the organization.
Minimum Qualifications: 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).
Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Age – 16 or older
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
Are you currently a Walmart associate? Please login to your Workday account and use the Find Jobs report to apply for this job.
- Find Jobs
R-2246709
About Walmart Canada
Walmart Canada operates a chain of more than 400 stores nationwide serving 1.5 million customers each day. Walmart Canada's flagship online store, Walmart.ca is visited by more than 1.5 million customers daily. With more than 100,000 associates, Walmart Canada is one of Canada's largest employers and is ranked one of the country's top 10 most influential brands. Walmart Canada's extensive philanthropy program is focused on supporting Canadian families in need, and since 1994 Walmart Canada has raised and donated more than $750 million to Canadian charities. Additional information can be found at walmartcanada.ca and on Walmart Canada’s social media pages – Facebook, X, Instagram and LinkedIn.