Senior Data Scientist

What you'll do...

Position: Senior Data Scientist

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

Duties: 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. Data Strategy: understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Model Deployment and Scaling: 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. Model Assessment and Validation: Identify the model evaluation metrics. Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. 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. Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. 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. 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. 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.

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

Skills required: Must have experience with: developing and implementing large-scale Machine Learning solutions, including supervised and unsupervised algorithms; developing large-scale operations research models to optimize supply chain operations, including solving assignment problems; coding in Python on cloud environments; coding in SQL on cloud environments; using Jira and Confluence for project planning and documentation; applying MLOps practices for Python code, including source code control (git), unit testing, and integration testing; visualizing data insights using Excel and Tableau; Supply chain operations and logistics processes, including demand forecasting, transportation and distribution, warehousing, and network design; developing heuristics (greedy algorithm) to solve operations research problems, including assignment problem; and utilizing optimization solvers (OR-Tools) to solve operations research problems, including assignment problem. Employer will accept any amount of experience with the required skills.

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Wal-Mart is an Equal Opportunity Employer.