(USA) Data Scientist III

Walmart•Bentonville, AR

6d•$90,000 - $180,000•Onsite

About The Position

The (USA) Data Scientist III plays a critical role in leveraging advanced analytical modeling, statistical methods, and data management techniques to deliver actionable business insights. This position requires expertise in data quality, exploratory analysis, and model development to support scalable solutions aligned with business objectives. The role involves collaborating across functions to translate complex data into strategic recommendations, ensuring model deployment and validation, and mentoring team members. Proficiency in programming, big data tools, and visualization supports effective communication of findings that drive informed decision-making and continuous improvement within the organization. About the team: The team focuses on enhancing testing efficiency at Sam’s Club by leveraging advanced data science and machine learning techniques. It combines expertise in programming, automation, and business strategy to develop and validate innovative solutions. Team members collaborate to analyze complex datasets, design predictive models, and deploy scalable applications that drive measurable business results. This environment promotes the use of statistical methods, data engineering, and visualization tools to support data-driven decision-making and continuous improvement throughout the organization.

Requirements

Proven expertise in data management, data quality standards, and data governance to ensure reliable and scalable data solutions.
Advanced proficiency in statistical methods, exploratory data analysis, and analytical modeling techniques including machine learning algorithms.
Strong programming skills in SQL, Python, and PySpark for code development, testing, and model deployment.
Experience with big data analytics tools such as Apache Spark to support scalable model implementation.
Ability to translate complex business requirements into data-driven solutions with sound understanding of business context.
Skilled in data visualization using Tableau and Python libraries to effectively communicate insights.
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
4 years' experience in an analytics or related field.

Nice To Haves

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)
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.
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.

Responsibilities

Apply advanced statistical methods and analytical modeling techniques to solve complex business problems and enhance data-driven decision-making.
Conduct exploratory data analysis, feature selection, and hypothesis testing to develop and refine predictive models.
Collaborate with cross-functional teams to translate business requirements into scalable data solutions using programming languages such as Python and SQL.
Support deployment, evaluation, and scalability of analytical models in production environments, ensuring performance and sustainability.
Maintain data quality standards and manage data sources to ensure accuracy and accessibility.
Create clear data visualizations and reports to communicate insights and influence business strategies.