Welcome to a groundbreaking opportunity in the dynamic field of Inventory Management! We are on the lookout for a passionate and forward-thinking individual to join our Augmented Inventory Management (AIM) team. As pioneers in the foodservice equipment and supplies industry, we're eager to bring aboard a dedicated professional who can contribute to shaping the future of inventory management.
We are leaders in the foodservice equipment and supplies industry, committed to delivering excellence. Our extensive network of distribution centers ensures swift delivery of over 70,000 products, making us a rapidly expanding force in the USA.
Join our AIM team, a group of highly analytical professionals at the forefront of revolutionizing inventory management. As a key player, you'll have the chance to employ cutting-edge techniques, integrate machine learning technologies, and make a real impact on our decision-making processes.
Create advanced statistical and machine learning models to optimize inventory management processes, ensuring efficient resource allocation.
Interface with procurement and operations stakeholders to devise systematic solutions for intricate inventory management challenges.
Research and implement enhancements to existing models, staying updated on emerging methodologies in the field.
Extract meaningful insights from data, formulating actionable recommendations that enhance the company's financial performance.
Implement robust monitoring mechanisms to validate the efficacy of deployed solutions.
Over 3 years of practical experience in SQL and statistical/machine learning programming (Python preferred, R and Matlab accepted).
Bachelor's degree in data science, statistics, or a closely related quantitative field; alternatively, over 4 years of experience with a data, research, or applied science team.
Demonstrated ability to swiftly acclimate to evolving environments and apply new skills to intricate problem-solving scenarios.
Supply Chain Expertise:
Familiarity with supply chain and warehouse stock optimization practices.
Exposure to time series forecasting models.
Experience with reporting tools like Power BI and Excel for sharing results.
Exceptional written and verbal communication skills with the ability to translate technical processes for non-technical audiences.
Master's degree in data science, statistics, operations research, or a closely related highly quantitative field.
Remote Work Qualifications
Access to a reliable and secure high-speed internet connection.
Dedicated home office space that is noise- and distraction-free.
A valid, physical address.
Desire and ability to work and communicate with other team members via chat, webcam, etc.
Legal residents of specified states.
Employment Type: Full-Time