Senior, Data Scientist - eCommerce Strategy

Position Summary

What you'll do...

Responsibilities

• Manage and execute entire analytical projects from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, and the communication of insights and recommendations.
• Build scalable and complex models and processes to optimize digital and physical flows with the goal of delivering an excellent customer experience while balancing long-term financial efficiency.
• Demonstrate a high degree of originality and creativity when developing solutions to improve existing eCommerce experiences, utilizing methods such as statistical analysis, regression modeling, and optimization.
• Identify areas of opportunity and influence execution of results via cross-functional participation to enable quick wins and continuous improvement.
• Create and deploy robust metrics and dashboards to enable tangible transformation.

Qualifications

• 4 - 6 years of supply chain/customer advanced modelling.
• Potential projects include: Create models to analyze the product & digital flows to support future sales growth with scenario modeling capabilities to understand the sensitivity to multiple variables; opening, closing, or repurposing distribution centers; conduct scenario analysis to evaluate multiple networks designs and impact to customer experience and cost to serve. Develop Inventory Planning and Distribution strategy to optimize cost to serve and improve customer experience and stock availability with a tiered storage network and dynamic real-time distribution network. Develop models that help identify high-value actions that drive customer conversion during digital commerce using operational and digital data.

Preferred Qualifications

• MBA, MS, or PhD in Analytics, Economics, Operations Research, Industrial Engineering, Operations Management, or Supply Chain Management.
• Experience with large dataset mining tools and open-source programming tools (e.g., R, Python, HiveQL, Spark).
• Experience with advanced analytical modeling tools, network optimization, and long-range planning.
• Experience in eCommerce, retail and supply chain domains and related information systems — search, impressions, conversion, distribution/transportation, sourcing, planning, manufacturing, and inventory management.
• Retail industry experience.

Benefits

• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• The annual salary range for this position is $90,000.00 - $180,000.00.
• Additional compensation includes annual or quarterly performance bonuses.
• Additional compensation for certain positions may also include: Stock.

Minimum Qualifications

• Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
• Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models.
• MBA, MS, or PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Using open source frameworks (for example, scikit learn, tensorflow, torch).
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• Knowledge of accessibility best practices and joining us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.