Staff, Data Scientist - eCommerce Strategy

Position Summary

What you'll do...

Responsibilities

• Manage and execute entire projects from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, and the communication of insights and recommendations.
• Create models to analyze the Supply Chain network needed 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.
• Identify high-value actions that drive customer conversion during digital commerce using operational and digital data.

Qualifications

• Bring a high degree of originality and creativity when developing solutions to improve existing business processes within the customer eCommerce journey, utilizing methods such as statistical analysis, regression modeling, and optimization.
• Adept at dealing with ambiguity and making 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 experience leading a team of exceptionally creative retail strategy practitioners and data scientists.
• 8 - 10 years of of supply chain/customer advanced modelling.
• 4 - 6 years of supervisory experience.

Preferred Qualifications

• Potential projects include:
• Create models to analyze the Supply Chain network needed 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.
• Identify high-value actions that drive customer conversion during digital commerce using operational and digital data.
• Preferred Qualifications include:
• Data science, machine learning, optimization models, 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.

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.

Pay and Schedule

The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock

Schedule

Primary Location... 1601 SE 10th St, Bentonville, AR 72716, United States of America

Equal Opportunity Employer

We are an equal opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other characteristic protected by law.