Job Summary
Clark Associates, a distinguished leader in the foodservice equipment and supplies industry, is seeking a dedicated and visionary individual to join our Augmented Inventory Management (AIM) team. As the foremost and rapidly expanding foodservice equipment and supplies dealer in the USA, we leverage a network of over 20 strategically positioned national distribution centers to promptly deliver an extensive catalog of 70,000+ products to our valued customers within an efficient 1-2 business day timeframe.
As a member of our Augmented Inventory Management team, you will play a pivotal role in shaping the future of inventory management within our dynamic organization. This team, composed of highly analytical professionals, is at the forefront of employing cutting-edge techniques to streamline decision-making processes, enhance accuracy, and achieve remarkable scalability through the integration of machine learning technologies.
Job Location
2257 Old Philadelphia pike, Lancaster, PA 17602
We only accept W-2 candidates, H-1B sponsorship is not available.
Responsibilities
- Model Development: Create advanced statistical, and machine learning models that optimize inventory management processes, fostering efficient allocation and utilization of resources.
- Collaboration: Interface with stakeholders in procurement and operations to devise systematic solutions for intricate inventory management challenges.
- Continuous Enhancement: Research and implement enhancements to existing models, keeping abreast of emerging methodologies in the field.
- Actionable Insights: Extract meaningful insights from data and formulate actionable recommendations that tangibly bolster the company's financial performance.
- Solution Validation: Implement robust monitoring mechanisms to validate the efficacy of deployed solutions.
Physical Requirements
- Work is performed while sitting/standing and interfacing with a personal computer.
- Requires the ability to communicate effectively using speech, vision, and hearing.
- Requires the regular use of hands for simple grasping and fine manipulations.
- Requires occasional bending, squatting, crawling, climbing, and reaching.
- Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Qualifications
Experience
- Experience: Over 3 years of practical experience using SQL and optimization/statistical/machine learning programming (Python preferred, R and Matlab accepted).
- Education: Bachelor's degree in operations research, data science, statistics or a closely related quantitative field; alternatively, over 4 years of experience with an optimization, data, research, or applied science team.
- Adaptability: Demonstrated ability to swiftly acclimate to evolving environments, rapidly learn new skills, and apply them to intricate problem-solving scenarios.
Education
This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.
Desired Traits & Skills
- Supply Chain Expertise: Familiarity with supply chain and warehouse stock optimization practices.
- Operations Research Experience: Familiarity with building optimization models (E.g. OR-Tools, CPLEX, Gurobi)
- Forecasting Acumen: Exposure to time series forecasting models.
- Reporting Proficiency: Experience with reporting tools like Power BI and Excel for sharing results.
- Communication: Exceptional written and verbal communication skills with the ability to translate technical processes for non-technical audiences.
- Advanced Education: Master's degree in data science, statistics, operations research, industrial engineering, or a closely related highly quantitative field.