Senior Data Scientist

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. 

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Wal-Mart is an Equal Opportunity Employer.