Manager Advanced Analytics

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Responsible for utilizing advanced statistical tools and leading-edge technology for working with large datasets related to supply chain of Ahold Delhaize brands, facilities, and assets. Develop predictive models and algorithms for the creation of new insights which lead to scalable and efficient supply chain operations. Lead discovery and analyses of large amounts of business data, defining new metrics and business cases, designing simulations and experiments, and creating models and financial evaluations.

Apply advanced analytics to measure the effectiveness of operational changes. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis. Work closely with supply chain engineers and product managers to evolve descriptive insights into predictive and prescriptive supply chain products.

Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA & Scarborough, ME.

Applicants must be currently authorized to work in the United States on a full-time basis.

• Develop statistical models to predict supply chain operational needs and automate decision making processes.
• Use advanced analytics to highlight operational trends and external variables that impact supply chain performance to offer proactive recommendations in support of operational goals.
• Collaborate with IT to structure supply chain data in a way that will make it accessible for creating a 360 view of our supply chain. This will include working with IT to identify and leverage new technology to access data in such a way to facilitate analysis and insight development. This will require expertise in advanced statistical technologies necessary for synthesizing data into actionable business opportunities.
• Work closely with product managers and supply chain engineers to sustainably scale and deploy supply chain products such as control tower, vendor profitability models, and out of stock detection among others.
• Serve as the expert on advanced analytics tools and technologies.
• Design tests for quantifying supply chain pilot results using A/B testing and statistical methods.
• Collaborate with and mentor Supply Chain Data Science COOPs by providing project oversight, guidance, and mentorship.
• Train other user groups and analysts to utilize best-in class tools and models.

• 7+ years of applicable experience with emphasis on supply chain analytics, agile software development, optimization or predictive modelling.
• 5+ advanced statistical analysis with emphasis on machine learning.
• Extensive hands‑on experience using statistical programming software and languages such as SAS, SQL, R, Scala and Python.
• Extensive hands‑on experience with predictive modelling, clustering, and optimization.
• Significant experience in algorithm developments, focus on supply chain related topics preferred.
• Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks.
• Demonstrated skills in selecting the right Architecture given a data analysis problem.
• Simulation development experience, focus on supply chain areas.
• Front end software development skills a plus.
• Bachelor's Degree in engineering, computer science, mathematics, supply chain management or related fields required.
• Master's Degree or PhD is Industrial Engineering, Operations Research, Computer Science, Data Science or related fields preferred.

• Strategic thinking to provide optimal solutions to complex supply chain problems.
• Proven analytical proficiency and ability to leverage data…