What you'll do...

Position: Data Scientist, Sam’s Member Engagement

Job Location: 702 SW 8th Street, Bentonville, AR 72716

Duties: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Understand the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Writes 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. Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem.

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Analytics, or a related field; OR Bachelor’s degree or the equivalent in Statistics, Analytics, or a related field plus 2 years of experience in data science or a related field.

Skills required: Must have experience with: Cleaning and preparing large and complex datasets using SQL; Extracting and performing hypothesis testing, statistical analysis like T-test in Python; Visualizing historical customer data using tools such as Tableau and Python; Aggregating data analysis results and summarizing insights in Excel; Designing and implementing A/B tests framework to improve customer experience; Creating and developing schemas in relational databases to support various web application activities; Designing predictive models to better understand customer behaviors; Drawing insights from retails datasets using programming languages; Creating analytical dashboards on customer datasets using Power BI, R or Tableau; Conducting descriptive analytics to understand customers' shopping behaviors; and Performing causal inference analytics to understand the impact of business strategies on customer sales. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Wal-Mart is an Equal Opportunity Employer.