Senior Program Manager Optimization
Posted on Apr 6, 2021 by Chewy
Chewy is hiring a Sr. Optimization Engineer to support our North American fulfillment center network. If you are excited about leading a project and using data and analytics to drive step function improvement and revolutionize E-commerce fulfillment then this opportunity is for you. Chewy is proud to offer competitive benefits, leadership development programs, rapid career growth potential, and employee incentives.
What Youll Do:
Use analytics, machine learning and simulation to provide world class fulfillment solutions for the Chewy fulfillment network.
Design, build and improve process flow simulations using FlexSim software for order fulfillment infrastructure throughout the large-scale supply chain network.
Routinely and effectively partner with leadership to define key business metrics, build models, and use descriptive analytics to support large scale operations decisions.
Work with engineering and operations leadership to identify process bottlenecks and build solutions supported by data.
Lead the identification of trends, factors and KPI's with the objective of reducing variable fulfillment cost per unit.
What Youll Need:
Minimum of 2 years of experience using modeling/simulation software. FlexSim experience preferred.
A proven track record of converting and implementing model outputs into real world solutions.
Minimum of 3 years of practical SQL programming query development and performance optimization experience.
Minimum of 3 years of experience with Business Intelligence and data visualization tools, eg Tableau, QlikView.
Minimum of 3 years of experience designing and applying analytic and/or algorithmic solutions to operational processes.
Experience with statistical analysis tools (such as R), root cause analysis, process design and control.
Strong knowledge on warehouse management systems to improve order picking efficiency by leveraging data.
Familiarity with fulfillment operations, ability to operate productively with limited supervision, and demonstrated intuition to allocate time to productive efforts is critical.
Lead projects associated with optimization of existing fulfillment centers based on simulation results.
Requires strong quantitative and analytical skills; this role caters to someone that loves to solve difficult and complex problems.
Manage multiple simulation projects simultaneously while keeping all stakeholders up to date on findings.
Master's in Computer Science, Operations Research or a related field and at least 3 years work experience.
The ability to analyze big data sets (tables with 50M+ rows and thousands of columns are standard).
Practical experience designing/implementing machine learning algorithms tailored to particular business needs and tested on large datasets.
Experience designing simulation and optimization models for business decisions (eg, order picking, pick travel path).
3-5 years of progressive experience with heavy emphasis on operations analytics and process improvement.
Familiarity with statistical concepts and advanced statistical techniques (eg R, Minitab)- distributions, confidence intervals, time series analysis, regression models, clustering, machine learning.
Familiarity with mathematical modelling & simulation techniques - probability, optimization (linear programming, etc.), graph theory, state models.
Experience with Supply Chain and Fulfillment Operations.