What you'll do...

Position: Data Scientist

Job Location: 702 SW 8th St, Bentonville, AR 72712

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. Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance.

Minimum education and experience required: Master’s degree or the equivalent in Computer Science, Engineering, Analytics, or related field; OR Bachelor’s degree or the equivalent in Computer Science, Engineering, Analytics, or related field plus 2 years of experience in analytics or a related field.

Skills required: Must have experience with: Optimization modelling including Linear Programming, Mixed-integer Programming, and Multi-criteria Optimization models; commercial optimization solver CPLEX; data manipulation and analysis using SQL, Big Query, Pandas, and NumPy; statistical analysis and modelling using Sklearn and statsmodel; coding in object-oriented programming using Python; supply chain modelling and analysis; algorithmic design and analysis; giving technical presentations; executing data science models and business value determination; machine learning models. Employer will accept any amount of experience with the required skills.

#LI-DNP #LI-DNI

Wal-Mart is an Equal Opportunity Employer.

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.