Arkansas Staffing
(USA) Senior, Data Scientist - eCommerce Strategy
Arkansas Staffing, Bentonville, Arkansas, United States, 72712
Senior Data Scientist
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 omnichannel 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. You will thrive in this role if you: Enjoy working independently to manage multiple projects while ensuring deadlines are met and data output is accurate and appropriate for the business. Can deal with ambiguity and make independent decisions about what data and approach is best for the task at hand. Excel in communicating with individuals and groups at all levels of an organization. Have 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. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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, Master's degree 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. Primary Location: 702 Sw 8th St, Bentonville, AR 72716, United States of America Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
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 omnichannel 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. You will thrive in this role if you: Enjoy working independently to manage multiple projects while ensuring deadlines are met and data output is accurate and appropriate for the business. Can deal with ambiguity and make independent decisions about what data and approach is best for the task at hand. Excel in communicating with individuals and groups at all levels of an organization. Have 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. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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, Master's degree 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. Primary Location: 702 Sw 8th St, Bentonville, AR 72716, United States of America Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.