Director, Data Science - Omnichannel Supply Chain ...

Key Skills

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

Job Description

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 Director 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

• Lead, hire, and mentor a team of world-class supply chain strategists and highly analytical leaders, while working in an agile, experimental environment
• 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

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 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

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

We’re virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We’ll collaborate in person at a regular cadence and with purpose.

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 6 years' experience in an analytics related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Option 3: 8 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)