Walmart
(USA) Senior, Data Scientist - eCommerce Strategy
Walmart, Bentonville, Arkansas, United States, 72712
Senior, Data Scientist – eCommerce Strategy (USA)
Be among the first 25 applicants.
Get AI‑powered advice on this job and more exclusive features.
This range is provided by Walmart. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $90,000.00/yr – $180,000.00/yr
Position Summary We’re looking for a Senior Data Scientist to lead and create initiatives for future strategies across Walmart that enhances our eCommerce Customer Value Proposition. This is a high-impact, high‑visibility role within the organization with expectations to deliver immediate results. In this role, you’ll primarily be responsible for creating a long‑term strategy and transformative path for Walmart’s rapidly growing omni‑channel business.
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.
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).
Advanced analytical modeling experience, network optimization, and long‑range planning.
Experience in eCommerce, retail, and supply‑chain domains and related information systems.
Retail industry experience.
Benefits and Compensation 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, parental leave, family care leave, etc.
Annual salary range: $90,000.00 – $180,000.00. Additional compensation may include performance bonuses and stock options.
Minimum Qualifications
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field and 3 years’ experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year’s experience in an analytics related field.
5 years’ experience in analytics or related field.
#J-18808-Ljbffr
Get AI‑powered advice on this job and more exclusive features.
This range is provided by Walmart. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $90,000.00/yr – $180,000.00/yr
Position Summary We’re looking for a Senior Data Scientist to lead and create initiatives for future strategies across Walmart that enhances our eCommerce Customer Value Proposition. This is a high-impact, high‑visibility role within the organization with expectations to deliver immediate results. In this role, you’ll primarily be responsible for creating a long‑term strategy and transformative path for Walmart’s rapidly growing omni‑channel business.
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.
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).
Advanced analytical modeling experience, network optimization, and long‑range planning.
Experience in eCommerce, retail, and supply‑chain domains and related information systems.
Retail industry experience.
Benefits and Compensation 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, parental leave, family care leave, etc.
Annual salary range: $90,000.00 – $180,000.00. Additional compensation may include performance bonuses and stock options.
Minimum Qualifications
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field and 3 years’ experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year’s experience in an analytics related field.
5 years’ experience in analytics or related field.
#J-18808-Ljbffr