What you'll do...

Position: Data Scientist III

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

Duties: Applied Business Acumen: 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. Data Source Identification: 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. Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Analytical Modeling: 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. Model Deployment & Scaling: 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. Code Development & Testing: 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. Problem Formulation: 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. Model Assessment & Validation: Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance. Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding. 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.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics or related experience.

Skills required: Must have experience with: Coding in programming language such as Python, R; Translating real world problems to data related or mathematical solutions; Building custom forecasting models using ML and statistical techniques; Testing and tuning multi-stage models and model ensembles to assess accuracy, fit, validity, and robustness; Evaluating and supporting scalability and sustainability of models to ensure they can be deployed into production; Data manipulation and visualization in Python using Pandas, Numpy, Matplotlib, Ploty; Conducting exploratory data analysis to understand patterns and the main characteristics; Performing data validation and quality checks to identify and fix data completeness; Writing unit tests to improve code quality and ensure that the unit meets its design and behaves as intended; Designing scalable data schemas and structures by applying the knowledge of databases; and Creating data pipelines using Spark SQL. Employer will accept any amount of graduate coursework, graduate research experience or experience with the required skills.

Wal-Mart is an Equal Opportunity Employer.

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