Department: Demand Planning & Allocation
Experience: 4-7 Yrs
Published On: 2024-03-26
ApplyNew Age Products is undergoing an exciting transformation with the formation of our integrated demand planning and allocation team. Reporting to the manager, the Inventory Allocation Data Scientist will be responsible for maintaining and improving our automated inventory allocation engine; and help lead cross functional analyses and reporting related to
inventory allocation. You will always have interesting new problems to apply your skillset while also becoming an expert on areas of inventory management and demand planning. Successful candidates will have extensive backgrounds in quantitative fields and significant experience in development and maintenance of business algorithms and logic relevant for an inventory allocation function in an E-commerce setting, preferably in python & SQL. This is a complete WFH opportunity working on the Canadian & USA markets. As such, the working hours preferably are evening shifts.
· Responsible for maintaining the current Inventory allocation algorithms and developing new algorithms based on the business requirements.
· Collaborate with cross-functional teams like demand planning, order fulfillment and digital integration teams in assimilating requirements and owning end to end data
driven projects.
· Develop and maintain data models and visualizations to support data-driven decision
making.
· Ensure data accuracy, completeness, and consistency through regular data quality
checks and cleansing.
· Process a large amount of data and do deep dives to understand certain trends/patterns,
carry out correlation analysis to identify causes and relatedness.
· Demonstrate high technical appetite and functional experience in building algorithm and
logics for inventory allocation function.
· Inform, influence, support, and execute key decisions and launches.
· Stay up to date with industry trends and best practices in data analysis and process
mining.
· Easily understands business problems and translates them into analytical requirements
and tasks.