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 90,000+ products to our valued customers within an efficient 1-2 business day timeframe.
This role sits on the Augmented Inventory Management (AIM) team within Procurement Operations. The team is responsible for building and improving the systems that drive inventory decisions at scale—ensuring the right products are in the right place at the right time across our distribution network.
As part of AIM, you will use data, forecasting, and optimization models to directly influence purchasing, allocation, and replenishment strategies. Your work will help improve product availability, reduce excess inventory, and support efficient growth as the business continues to scale.
This is a highly applied role focused on solving real operational problems. You’ll partner closely with Procurement and Operations to translate business needs into prescriptive solutions, while continuously improving the models and processes that power our inventory decisions.
Job Location
Remote: Legal residents of one of the following states: AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY
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.
A rapidly growing, multi-divisional company headquartered in Lancaster, Pennsylvania with services supporting all of Clark’s distribution methods in the food service industry.
Job Posted: 06/15/2026