Senior Data Scientist

This notice is being provided as a result of the filing of an Application for Permanent Alien Labor Certification. Any person may provide documentary evidence bearing on the application to the Certifying Officer of the Department of Labor: U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210 What you'll do... Position: Senior Data Scientist Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Model Deployment and Scaling: Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Support the scalability and sustainability of analytical models. Code Development and Testing: Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Tests the code using the recommended testing approach. Model Assessment and Validation: Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Data Visualization: Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Works with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customizes communication style based on stakeholder under guidance, and leverages rational arguments. Guides and mentors junior associates on story types, structures, and techniques based on context. Understanding Business Context: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Identifies and recommends relevant business insights pertaining to their area of work. Tech. Problem Formulation: Translates/co-owns business problems within one's discipline to data related or mathematical solutions. Identifies appropriate methods/tools to be leveraged to provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. 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. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment. Performs 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. Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field plus 1 year of experience in an analytics related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field plus 3 years of experience in an analytics related field. Skills Required: Must have experience with: SQL and big-data tooling for mining and transforming high-volume logistics datasets; Python for production-grade data science; Time-series forecasting; MLOps and product ionization, including feature pipelines, model monitoring, Airflow-style orchestration, and reliability; Experimentation and causal inference (A/B tests and uplift modeling) to translate business needs into measurable DS solutions; Applying machine learning (supervised or unsupervised models) to improve efficiency, cost, and experience; Large-scale algorithm development and testing, including design, A/B evaluation, and KPI alignment; Cross-functional communication and stakeholder management with product/engineering/ops; Tableau dashboarding and BI visualization, including building executive dashboards, operational reporting, and self-service analytics; Business intelligence, including data warehousing, ETL, KPI frameworks, and integration with tools such as Tableau; Executive presentation and storytelling. Employer will accept any amount of experience with the required skills. Rate of pay: $110,302.00 - 180,000.00/year. Additional compensation includes annual or quarterly performance incentives. Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time