Senior Data Scientist, Supply Chain - Sam's Club

Key Skills

Java Programming, Python Programming, SQL, Scala Programming, Scikit-learn, R Programming, SPARK Programming

Job Description

Working at Sam’s Club means a career without boundaries. There’s always room to grow, to take on another challenge, to roll up your sleeves and contribute, and to find professional rewards for your hard work.

Yes, we are a division of the Fortune #1 company, Walmart, Inc. But you’ll quickly find that we’re a company that wants you to feel comfortable bringing your whole self to work. A career at Sam’s Club is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our clubs. Join us and you'll discover why our company is a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life.

The Senior Data Scientist will provide strategic and analytic support for the supply chain organization, as well as business partners in product management, operations and merchandising teams at Sam’s Club. Your goal is to use data and analyses to uncover problems and inform critical business decisions.

Challenges you’ll tackle …

• You will use advanced analytics techniques to uncover valuable insights from data, managing projects from start to finish, including data gathering, modeling and communication of insights and recommendations
• You’ll help identify opportunities and areas of improvement in supply chain (including logistics network, transportation, inventory optimization, etc.) utilizing methods such as statistical analysis, regression modeling and optimization
• You’ll partner with Sam’s club product managers, technology teams, merchandising teams and business teams to influence business strategy and solve complex problems. 
• Build scalable and complex supply chain models and processes to optimize supply chain strategies with goals to deliver excellent customer experience while balancing operating cost and asset efficiency

What you’ll do…

• Create models to analyze the supply chain network need to support future sales growth with scenario modeling capabilities to understand the sensitivity to multiple variables; provide insight to Logistics executives on opening, closing, or repurposing DCs; analyze impact to multiple networks simultaneously; and create scenario analyses extending beyond the five-year modeling horizon
• Build compelling presentations that synthesize findings, explain story behind the numbers, and communicate actionable recommendations
• Develop optimization logic and tool to determine truckload lane strategy for outbound transportation balancing cost and SLA requirements
• Develop logic and tool to determine optimal share of volume to process in various customer buying channels in the company balancing inventory availability, capacity, cost, and service level requirements
• Build prototypes and simulations using Machine Learning, Statistical Modeling as a proof of concept

Preferred Qualifications:

• Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field
• 4+ years' experience in data science, machine learning, optimization models, or related field applied to supply chain problems
• Extensive experience in one or more supply chain domains and related information systems – distribution/transportation, sourcing, planning, manufacturing and inventory management
• Experience with large data set mining tools and open-source programming tools, (e.g., Python, R)
• Hands on skills in data wrangling and visualization with tools such as SQL, Tableau, Power BI, ETL tools, Excel
• Experience with network modeling tools and network optimization techniques - long range planning is a plus
• Competent in PowerPoint and comfortable building presentation materials to tell a clear story
• Ability to foster successful partnerships within cross-functional teams
• Effective communication skills at multiple levels of the organization, including senior management - ability to communicate complex concepts in easy-to-understand terminology
• Ability to champion ideas and influence the organization with fact-driven recommendations
• Strong follow-through skills and acute attention to detail

Benefits & Perks

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer

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, ideas and opinions – while being inclusive of all people.

Who We Are

Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, operating almost 600 clubs in the US. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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, 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)