Company Name:-
Walmart

Job Location:-
Dallas, TX 75202 (City Center District area)

Job Summary:-
Position Summary.

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What you’ll do.

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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.

Applied Business Acumen: 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.

Serves as an interpreter and conduit to connect business needs with tangible solutions and results.

Recommends new processes and ways of working.

Problem Formulation: Analyzes the business problem within one’s discipline and questions assumptions to help the business identify the root cause.

Identifies and recommends approach to resolve the business problem.

Sets data analytics, big data analytics, automation goals, and deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution.

Quantifies business impact.

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 Assessment & 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.

Model Deployment & Scaling: Supports

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