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(USA) Senior Manager, Data Science

Position Summary...

What you'll do...

About CENTROID

Walmart’s CENTROID org is transforming the future of Walmart’s omnichannel supply chain strategy. Our team of industry-leading experts, consultants, and technologists combine exceptional strategic thinking with data science and advanced analytics to solve the world’s most complex supply chain challenges at Walmart’s scale.

 

Our mission is to design a supply chain that leverages Walmart’s unique advantages to provide a wide product assortment, offer the lowest costs, and build cutting-edge capabilities through transformative initiatives. We’re looking for extraordinary supply chain talent with top-notch quantitative abilities, critical thinking skills, and business acumen to propel Walmart through the next 50 years of excellence and innovation.

 

Job Description

We’re looking for a Senior Manager II to lead a team that is focused on creating initiatives for future strategies across Walmart’s omnichannel supply chain. 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 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 supply chain models and processes to optimize supply chain strategies with the goal of delivering an excellent customer experience while balancing operating cost and asset efficiency.

·     Develop strong relationships with Walmart functional areas to identify best practices, solicit input/data, coordinate interdisciplinary initiatives, and gather support for recommendations.

·     Identify areas of opportunity and influence execution of results via cross-functional participation to enable quick wins and continuous improvement.

·     Obtain alignment from relevant business partners and management support for projects and lead discussions to drive change.

·     Effectively organize, assemble, and use all available resources when given a project to ensure success.

 

You will thrive in this role if you:

·        Bring a high degree of originality and creativity when developing solutions to improve existing business processes within the supply chain, utilizing methods such as statistical analysis, regression modeling, and optimization.

·        Are 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 supply chain practitioners and data scientists.

·        8 - 10 years of supply chain optimization models.

·        4 - 6 years of supervisory experience.

 

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.

·     Develop optimization logic and a tool to determine truckload lane strategy for outbound transportation, balancing cost and SLA requirements.

 

Preferred Qualifications

·     MBA, MS, or PhD in 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 network modeling tools (e.g., Llamasoft Supply Chain Guru), network optimization, and long-range planning

·     Extensive experience or knowledge of supply chain domains and related information systems — 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. 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.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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.

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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.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $110,000.00-$220,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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...

601 N Walton Blvd, Bentonville, AR 72716, United States of America
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Average salary estimate

$165000 / YEARLY (est.)
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$110000K
$220000K

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What You Should Know About (USA) Senior Manager, Data Science, Walmart

If you're an innovative leader looking to take your career to new heights, check out the Senior Manager, Data Science position at Walmart's CENTROID organization! This is an extraordinary opportunity to be at the forefront of Walmart's omnichannel supply chain transformation. In this role, you'll lead a dynamic team of experts passionate about leveraging data science and advanced analytics to tackle complex challenges. Your mission? To create forward-thinking strategies that enhance Walmart's supply chain capabilities while ensuring exceptional customer experiences. As a Senior Manager, you’ll oversee everything from project management and data analysis to fostering collaboration across functional areas. You’ll thrive in a fast-paced, high-impact environment where your creativity and critical thinking skills will shine. We're looking for candidates with a strong foundation in supply chain optimization and proven experience leading teams. Ultimately, your long-term vision and ability to generate insights will contribute to Walmart's ongoing innovation and success. Join us in Bentonville, AR, and be a part of a company that is committed to making a difference while also supporting your career advancement with competitive pay and a wide range of benefits!

Frequently Asked Questions (FAQs) for (USA) Senior Manager, Data Science Role at Walmart
What are the responsibilities of a Senior Manager, Data Science at Walmart?

A Senior Manager, Data Science at Walmart is responsible for overseeing projects that create and implement strategies for transforming Walmart's supply chain. This role includes managing project lifecycles, building complex supply chain models, fostering collaboration across departments, and analyzing data to drive impactful business solutions.

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What qualifications are needed for the Senior Manager, Data Science position at Walmart?

To qualify for the Senior Manager, Data Science position at Walmart, candidates should have a Bachelor's degree in a relevant field and substantial experience in analytics or supply chain optimization. Additionally, leadership experience and expertise in programming tools such as R, Python, or HiveQL are preferred.

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What skills are essential for a Senior Manager in Data Science at Walmart?

Essential skills for a Senior Manager in Data Science at Walmart include strong analytical abilities, expertise in statistical analysis and modeling, creativity in problem-solving, excellent communication skills, and the ability to navigate ambiguity while making data-driven decisions.

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What kind of projects does the Senior Manager, Data Science work on at Walmart?

The Senior Manager, Data Science at Walmart works on various transformative projects that include network optimization analyses, inventory planning strategies, and developing tools for transportation logistics—all aimed at enhancing Walmart's supply chain efficiency and customer service.

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What is the salary range for a Senior Manager, Data Science at Walmart?

The salary range for a Senior Manager, Data Science at Walmart is competitive, typically between $110,000 and $220,000 annually, with additional performance-based bonuses and benefits provided to support a positive work-life balance.

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Common Interview Questions for (USA) Senior Manager, Data Science
Can you describe your experience with data science and supply chain optimization?

In answering this question, emphasize specific projects you've worked on, the tools and methodologies utilized, and the successful results achieved. Highlight how your background aligns with Walmart's goals for improving their supply chain through data-driven insights.

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How do you approach creating a long-term strategy for a complex supply chain?

Discuss your methodology for gathering insights, analyzing data, and considering stakeholder perspectives. Emphasize the importance of adaptability and continuous improvement in your strategic planning process.

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What role does collaboration play in your work as a Senior Manager?

Highlight the significance of building strong relationships across departments and aligning goals to achieve successful outcomes. Share examples of how collaboration helped you tackle challenges in previous roles.

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What quantitative methods do you use to optimize supply chain strategies?

Talk about specific techniques such as statistical analysis, regression modeling, or simulation. Mention any software or tools you're proficient with that assist in these analyses.

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How do you handle ambiguity when making decisions related to data analysis?

Illustrate with examples how you've navigated uncertainty by focusing on data-driven insights. Explain your thought process for making informed decisions despite limited information.

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Can you share an instance where you influenced significant change in a project?

Employ the STAR technique (Situation, Task, Action, Result) to describe a specific scenario. Focus on how you identified the need for change, the steps you took to influence it, and the positive outcomes that followed.

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What is your experience managing a team in data science?

Discuss your leadership style, how you support team development, and share an example of a successful project that resulted from effective team collaboration.

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How do you ensure data integrity when collecting and analyzing data?

Elaborate on the checks and methodologies you employ to validate data accuracy. Discuss how critical data quality is to your analysis and decision-making processes.

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Describe a challenging supply chain optimization problem you've encountered.

Provide insight into a specific problem, the analytical methods you employed to solve it, and the implications of your solution on overall supply chain performance.

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What key performance indicators do you believe are most important for supply chain management?

Identify essential KPIs like cost efficiency, inventory turnover, on-time delivery, and customer satisfaction. Explain why these metrics are vital in evaluating supply chain effectiveness.

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Full-time, on-site
DATE POSTED
April 4, 2025

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