Position: Data Scientist III

Job Location: 702 S.W. 8th St., Bentonville, AR 72716

Duties: Leads small and participates in large data analytics project teams by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Participates in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams. Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders.

Minimum education and experience required: Master's degree or the equivalent in Computer Science, Information Technology, Engineering, or related field; OR Bachelor's degree or the equivalent in Computer Science, Information Technology, Engineering, or related field plus 2 years of experience in data science or a related field.

Skills Required: Must have experience with: Analytical modeling: appropriate feature selection, EDA methods, and techniques; Advanced Excel function and pivot tables for analyzing and visualizing the data; Python, R programing language coding for data exploration, visualization, and pipeline development; SQL for accessing data base and exploration; Business context and Tech problem formulation; Root cause analysis; Exploratory data analysis to understand how the feature behave before ML modelling; Data visualization and creating dash boards using Tableau; Cost savings/avoidance analysis; Machine learning: regression, classification models, regularization, ensemble learnings, clustering; Six Sigma: measurement system analysis (Gauge R&R), control charts, hypothesis testing and ANOVA analysis, sampling techniques, process improvement and factorial design experiments. Employer will accept any amount of experience with the required skills.

Wal-Mart is an Equal Opportunity Employer.