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Develop and implement advanced models to optimize inventory management and supply chain processes, collaborating with stakeholders and validating solutions.
Over 3 years of practical experience with SQL and programming in Python or similar, with a background in operations research, data science, or related fields, and the ability to adapt quickly to evolving environments.
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. 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. Remote Work Qualifications • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks. • Access to a home router and modem. • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible). • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment. • The desire and ability to work and communicate with other team members via chat, webcam, etc. • 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, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only. 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. Company Overview A rapidly growing, multi-divisional company headquartered in Lancaster, Pennsylvania with services supporting all of Clark’s distribution methods in the food service industry. Benefits • Medical • Vision • Dental • PTO • Paid Maternity Leave • Paid Parental Leave • Life Insurance • Disability • Dependent Care FSA • 401(k) matching • Employee Assistance Program • Wellness Incentives • Company Discounts • AT&T & Verizon Discount • Bonus Opportunities • Accident Insurance • Critical Illness Insurance • Adoption Assistance Available at HQ Locations Only • On-Site Fitness Centers • Dog-friendly Offices
This job posting was last updated on 12/27/2025