Senior Data Scientist
Walmart

What you'll do at

What you'll do...

Position: Senior Data Scientist

Job Location: 2101 SE Simple Savings Drive, Bentonville, AR 72712

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: Requires knowledge of impact of variables and features on model performance; understanding of servers, model formats to store models. To 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: Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in analytics or related experience; OR Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in analytics or related experience.

Skills required: Must have experience with: Working on large data set; Building open source machine learning models using object-oriented programming language, Python; Analyzing and building econometric and ML models; Presenting the analysis and model results to a large group and also to experts in the field; Data visualization and preliminary analysis like graphs, box plots, etc. using Python; Making slides using power points for presentation to the team and leadership; Data quality check and gap detection using some automated process in excel, python, etc.; Working on some ambitious white paper projects using machine learning and in particular deep learning; Forecasting using time series models; and Automating the data pipelines and results preparation, etc. using Python. 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.

About Walmart

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.

"At Walmart, you have the support you need at any given moment no matter the circumstance." - 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.