What you'll do...

Position: Senior Data Scientist, Member Engagement

Job Location: 702 SW 8th Street, Bentonville, AR, 72716

Duties: Leads the continuous improvement of data science and analytics by researching industry best practices and staying up-to-date on analytical practices; developing innovative solutions, processes, and techniques; evaluating and recommending vendor products and services; integrating third party solutions into current processes; developing and recommending process standards and best practices across the retail industry; and mentoring peers and analysts across the division in analytical best practices. Consults with business stakeholders on data-based insights by serving as the data science subject matter expert for the division; analyzing data to develop data-driven insights; applying analytical results to division goals; identifying trends across the company; translating results into actionable recommendations; identifying potential consequences of proposed plans and providing alternative recommendations; and presenting insights and recommendations to stakeholders and peers. Drives strategies for analytics across the division by participating in business strategy discussions to ensure alignment between data and business objectives; analyzing business direction and identifying key insights needed; developing advanced analytics models based on business initiatives; leading project team discussions to determine project plans and direction; synthesizing data to ensure validity and usability; building large analytics datasets to support project goals; utilizing big data analytics and advanced data and text mining technologies; building learning systems to analyze and filter continuous data flows and offline data analysis; presenting results, insights, and actionable recommendations for business plans to key stakeholders; and influencing future business plans based on analytics insights. Serve as the senior technical lead for project teams; working with business partners to translate project goals into data analytic models; facilitating discussions with business partners to determine the root cause of business problems; aligning divisional goals with project plans; developing contingency plans for data analysis; designing data collection tools to conduct primary research to address business initiatives; developing timelines for project execution; utilizing business knowledge to ensure data supports project goals; and developing recommendations based on data analysis.

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Computer Science, Engineering, or related field. Position does not require specific years of experience but requires listed skills.

Skills required: Must have experience with: Data analytics by writing SQL queries; Using Apache Spark for large-scale data processing; Working with data on cloud platform databases, such as Azure Databricks, GCP Big Query, and relational databases such as SQL Server; Performing descriptive data analytics and statistical modeling using programming languages (Python or PySpark) and Excel; Data ingestion and integration using cloud storage solutions (such as Azure Blob storage, GCP bucket,etc.); Developing and running machine learning models; Creating analytics dashboards and data visualizations using advanced data visualization tools such as Tableau, Power BI, and Looker; Automating and maintaining visualization dashboards to keep the key business metrics up to date; Hypothesis testing, A/B test, T-test; and Knowledge sharing and project documentation using Confluence and assisting project managers with tracking projects using JIRA. Employer will accept any amount of graduate coursework, graduate research experience or experience with the required skills.

Wal-Mart is an Equal Opportunity Employer.