Inventory Management Data Scientist

4 days ago

Lancaster, United States Clark Associates Companies Full time

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. 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. 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. This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else. 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.

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