What you'll do at




What you'll do...




Position: Senior Data Scientist



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



Duties: Tech. Problem Formulation: translate/ co-own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools 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. Demonstrates up-to-date 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. Understanding Business Context: Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. 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. Data Source Identification: support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. 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. Analytical Modeling: 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 Assessment and Validation: 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: 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. Data Visualization: generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications.



Minimum education and experience required: Master's degree or the equivalent in Analytics, Mathematics, Computer Science, or a related field plus 1 year of experience in analytics or related experience OR Bachelor's degree or the equivalent in Analytics, Mathematics, Computer Science, or a related field plus 3 years of experience in analytics or related experience OR 5 years of experience in analytics or related experience.



Skills required: Must have experience with: Developing and implementing predictive models to optimize operations and reduce costs; Developing complex queries to extract data for business analyses; Developing optimization models for inventory management, procurement, and logistics; Collaborating with cross-functional teams to develop strategies and drive operational excellence; Providing decision support to the management team and senior leadership; Developing and maintaining dashboards and reports to track KPIs and provide insights to management; Monitoring and analyzing industry trends and best practices to identify new opportunities for improvement; Developing compelling business cases for capital projects, including construction of new fulfillment and distribution centers; Coding in an object-oriented programming language (Python or Java); Performing ad hoc analyses using excel. Employer will accept any amount of graduate coursework, graduate research experience or experience with the required skills.


#LI-DNP #LI-DNI


Wal-Mart is an Equal Opportunity Employer.



About Sam's Club



Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.


Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.


Sam's Club 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.


"The people you work with are ready to help without hesitation to make sure you succeed, it's just part of the culture." - Shelby, Project Analyst



Hello, NW Arkansas



With over 200 miles of trails, an emerging locally-sourced food scene, the world-renowned Crystal Bridges Museum-NWA has something for everyone.