Inventory Management Data Scientist - Lancaster, United States - Clark Associates
Description
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.
Role Overview:
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:
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Model Development: Create advanced statistical, and machine learning models that optimize inventory management processes, fostering efficient allocation and utilization of resources.
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Collaboration:Interface with stakeholders in procurement and operations to devise systematic solutions for intricate inventory management challenges.
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Continuous Enhancement:Research and implement enhancements to existing models, keeping abreast of emerging methodologies in the field.
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Actionable Insights: Extract meaningful insights from data and formulate actionable recommendations that tangibly bolster the company's financial performance.
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Solution Validation:Implement robust monitoring mechanisms to validate the efficacy of deployed solutions.
Minimum Qualifications:
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Experience:Over 3 years of practical experience using SQL and optimization/statistical/machine learning programming (Python preferred, R and Matlab accepted).
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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.
Preferred Qualifications:
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Supply Chain Expertise:Familiarity with supply chain and warehouse stock optimization practices.
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Operations Research Experience:Familiarity with building optimization models (E.g. OR-Tools, CPLEX)
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Forecasting Acumen:Exposure to time series forecasting models.
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Reporting Proficiency: Experience with reporting tools like Power BI and Excel for sharing results.
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Communication:Exceptional written and verbal communication skills with the ability to translate technical processes for non-technical audiences.
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Advanced Education:Master's degree in data science, statistics, operations research, industrial engineering, or a closely related highly quantitative field.
Remote work qualifications
- Access to a reliable and secure highspeed 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 daytoday tasks.
- Access to a home router and modem.
- A dedicated home office space that is noise
- 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: (). H1B Visa Sponsorship Not Available, W2 only.
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