Staff Data Scientist

Walmart • Bentonville, AR

3d • $110,000 - $220,000 • Onsite

About The Position

The Staff Data Scientist will be responsible for translating business problems into data-related solutions, identifying appropriate methods and tools, and developing business cases for projects. This role involves understanding business context, identifying suitable data sources, performing data quality checks, and developing custom analytical models. The position requires conducting exploratory data analysis, defining and finalizing features, designing and conducting experiments, and performing trend and cluster analysis. Additionally, the Staff Data Scientist will mentor junior associates, support model assessment and validation, write and test code, generate data visualizations, and understand and apply data strategy principles.

Requirements

• Advanced Python and SQL development for large-scale statistical analysis, predictive modeling, and efficient data processing across enterprise datasets.
• Hierarchical forecasting models with temporal disaggregation, multi-horizon predictions, and reconciliation methods for consistency across aggregation levels.
• Linear programming and classical optimization techniques for large-scale structured and unstructured datasets.
• Apache Spark for distributed large-scale data processing.
• Ensemble methods for real-time large-scale forecasts.
• Unsupervised learning algorithms for clustering and anomaly detection.
• Advanced features including rolling statistics, seasonality indicators, interaction terms, and domain-specific transformations for predictive modeling.
• Data visualization using Python and Tableau to communicate KPIs and business insights.
• Exploratory data analysis using hypothesis testing, distribution analysis, correlation studies, outlier detection, and data quality assessment.
• Workflow automation and DAG design for model training, forecasting, and data pipeline orchestration.
• Cross-validation strategies, time series splits, and back testing frameworks, forecasting accuracy metrics across multiple dimensions and hierarchies.
• Automated anomaly detection using statistical methods and ML approaches with alerting for forecast quality monitoring.

Responsibilities

• Translate business problems into data-related or mathematical solutions.
• Identify appropriate methods and tools to solve business problems.
• Share use cases and examples to demonstrate how methods solve business problems.
• Provide recommendations to business stakeholders to solve complex business issues.
• Develop business cases for projects with projected return on investment or cost savings.
• Translate business requirements into projects, activities, and tasks aligned with business strategy.
• Serve as an interpreter connecting business needs with tangible solutions.
• Identify and recommend relevant business insights.
• Support understanding of requirement priority and service level agreements.
• Help identify the most suitable data sources.
• Perform initial data quality checks.
• Ensure models comply with company policies and standards.
• Select and develop custom analytical models for complex data.
• Conduct exploratory data analysis (statistical analysis, hypothesis testing, statistical inferences).
• Define and finalize features to enhance analysis and outcomes.
• Identify experiment dimensions, finalize design, test hypotheses, and conduct experiments.
• Perform trend and cluster analysis to answer business problems and provide insights.
• Mentor and guide junior associates on modeling and analytics techniques.
• Support efforts to ensure analytical models can be deployed into production.
• Support evaluation of analytical models.
• Support scalability and sustainability of analytical models.
• Write code to develop solutions and application features using recommended programming languages.
• Test code using recommended testing approaches.
• Generate graphical representations of data and model outcomes.
• Understand customer requirements to design appropriate data representation.
• Work with User Experience designers and User Interface engineers.
• Present to and influence teams and business audiences using data visualizations.
• Customize communication style based on stakeholder guidance.
• Guide and mentor junior associates on storytelling techniques.
• Understand, articulate, and apply data strategy principles to routine business problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior