2026 Intern Conversion: 2027 FT Data Scientist III- Bentonville

Walmart Canada

$90K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in relevant analytics-related fields
  • 2-4 years of experience in analytics or related fields
  • Proficient in coding languages like SQL, Java, Python
  • Knowledge of advanced statistical and machine learning techniques
  • Familiarity with data visualization tools like Tableau and PowerBI

Responsibilities

  • Understand and apply data governance and quality standards
  • Conduct exploratory and advanced statistical analysis on datasets
  • Support model deployment and assess their performance in production
  • Develop custom analytical models for complex data
  • Mentor junior associates on modeling techniques and analytics

Benefits

  • Comprehensive training and professional development opportunities
  • Collaborative and inclusive company culture
  • Opportunities to work on cutting-edge data technologies
  • Flexible work environment
  • Health and wellness initiatives
Full Job Description
Position Summary...

What you'll do...
THIS REQUISITION IS POSTED FOR INTERNS WHO INTERNED IN SUMMER 2O26. NEW ROLES FOR SUMMER 2027 WILL BE POSTED SOON

Data Strategy Requires knowledge of understanding of business value and relevance of data and data enabled insights decisions Appropriate application and understanding of data ecosystem including Data Management Data Quality Standards and Data Governance Accessibility Storage and Scalability etc Understanding of the methods and applications that unlock the monetary value of data assets To understand articulate and apply principles of the defined strategy to routine business problems that involve a single function
Analytical Modeling Requires knowledge of feature relevance and selection Exploratory data analysis methods and techniques Advanced statistical methods and bestpractice advanced modelling techniques eg graphical models Bayesian inference basic level of NLP Vision neural networks SVM Random Forest etc Multivariate calculus Statistical models behind standard ML models Advanced excel techniques and Programming languages like RPython Basic classical optimization techniques eg NewtonRapson methods Gradient descent Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc To select the analytical modeling technique most suitable for the structured complex data and develops custom analytical models Conduct exploratory data analysis activities for example basic statistical analysis hypothesis testing statistical inferences on available data Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes Identify the dimensions of the experiment finalize the design test hypotheses and conduct the experiment Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems
Model Deployment and Scaling Requires knowledge of impact of variables and features on model performance understanding of servers model formats to store models To support efforts to ensure that analytical models and techniques used can be deployed into production Support evaluation of the analytical model Support the scalability and sustainability of analytical models
Code Development and Testing Requires knowledge of coding languages like SQL Java C Python and others Testing methods such as static dynamic software composition analysis manual penetration testing and others Business domain understanding To write code to develop the required solution and application features by using the recommended programming language and leveraging business technical and data requirements Test the code using the recommended testing approach
Tech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To translate coown business problems within ones discipline to data related or mathematical solutions Identify appropriate methodstools to be leveraged to provide a solution for the problem Share use cases and gives examples to demonstrate how the method would solve the business problem
Understanding Business Context Requires knowledge of Industry and environmental factors Common business vernacular Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and indepth knowledge of related practices Directly relevant business metrics and business areas To Support the development of business cases and recommendations Drive delivery of project activity and tasks assigned by others Support process updates and changes Support under guidance in solving business issues
Data Source Identification Requires knowledge of Functional business domain and scenarios Categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success To Understand the appropriate data set required to develop simple models by developing initial drafts Support the identification of the most suitable source for data Maintains awareness of data quality
Model Assessment and Validation Requires knowledge of model fit testing tuning and validation techniques eg Chi square ROC curve root mean square error etc Impact of variables and features on model performance To support model fit testing and statistical inferences to evaluate performance Assess the impact of variables and features on model performance
Data Visualization Requires knowledge of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced visualization techniques tools Multiple story plots and structures OABCDE Communication influencing technique Emotional intelligence To generate appropriate graphical representations of data and model outcomes under guidance Support the understanding of customer requirements and design data representations for simple data sets Present to and influence the team using the appropriate data visualization frameworks and convey messages through basic business understanding
Demonstrates uptodate expertise and applies this to the development execution and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices supporting and aligning efforts to meet customer and business needs and building commitment for perspectives and rationales
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders identifying business needs determining and carrying out necessary processes and practices monitoring progress and results recognizing and capitalizing on improvement opportunities and adapting to competing demands organizational changes and new responsibilities
Models compliance with company policies and procedures and supports company mission values and standards of ethics and integrity by incorporating these into the development and implementation of business plans using the Open Door Policy and demonstrating and assisting others with how to apply these in executing business processes and practices

Minimum Qualifications...

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

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.

Preferred Qualifications...

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

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.

Primary Location...

805 Se Moberly Ln., Bentonville, AR 72712, United States of America

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