Inventory Management Data Scientist - Lancaster, United States - Clark Associates

Clark Associates Lancaster, United States

2 weeks ago

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:

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.

Minimum Qualifications:

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.

Preferred Qualifications:

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)

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.

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: (). H-1B Visa Sponsorship Not Available, W2 only.

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Inventory Management Data Scientist - Lancaster, United States - Clark Associates

Description

Associate Scientist Data Review