(USA) Senior Manager, Data Science - Ecommerce

Position Summary...

You will design, develop, and implement advanced optimization models to solve complex problems across Walmart's Middle Mile Supply Chain, collaborating closely with business stakeholders to translate their needs into effective mathematical solutions. Your work will directly impact network design, inventory placement, and operational planning to drive business value and efficiency.

What you'll do...

Responsibilities
·       Work on challenging optimization models that impact the entire Walmart Middle Mile Supply Chain. This includes ideation, design, and implementation of the model to solve challenging problems faced by our stakeholders.
·      Interface with our business stakeholders and executives regularly to understand their requirements and translate business requirements into mathematical models. Ability to work with fuzzy and dynamic requirements.
·       Demonstrate a high degree of originality and creativity when developing solutions to improve existing business processes within supply chain, utilizing methods such as metaheuristics, and optimization.
·       Ability to explain and convince stakeholders and executives about the approach adopted to drive business impact and stakeholder value.
·.      Ability to work independently with minimal supervision

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. 

Potential projects include:

• Create models to analyze the E-commerce Middle Mile network needed to support future sales growth with scenario modeling capabilities to understand the sensitivity to multiple variables; opening, closing, or repurposing sort centers and stores; execute multiple model runs to understand the impact of inventory placement and facility location on cost-to-serve and customer service levels. 
• Develop models to design the inbound network from our suppliers to the fulfillment centers; evaluate the impact of various facility location strategies on stock-out probabilities and transportation costs and speed. 
• Develop optimization models to determine the annual operating plan for Walmart E-commerce middle mile network; derive the optimal scheduling of sort-centers and store openings; 

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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 amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
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 :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

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, Supervisory experience, 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

609 N Walton Blvd, Bentonville, AR 72712-0000, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.