Inventory Management Data Scientist

Job SummaryClark 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.ResponsibilitiesModel 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 RequirementsWork 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.ExperienceExperience: 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.EducationThis role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.Desired Traits & SkillsSupply 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 OverviewA rapidly growing, multi-divisional company headquartered in Lancaster, Pennsylvania with services supporting all of Clark’s distribution methods in the food service industry.BenefitsMedicalVisionDentalPTOPaid Maternity LeavePaid Parental LeaveLife InsuranceDisabilityDependent Care FSA401(k) matchingEmployee Assistance ProgramWellness IncentivesCompany DiscountsAT&T & Verizon DiscountBonus OpportunitiesAccident InsuranceCritical Illness InsuranceAdoption AssistanceAvailable at HQ Locations OnlyOn-Site Fitness CentersDog-friendly Offices