Inventory Management Data Scientist

Job Summary

Clark Associates seeks a dedicated and visionary individual to join their Augmented Inventory Management (AIM) team. This role focuses on leveraging data, forecasting, and optimization models to directly influence purchasing, allocation, and replenishment strategies, thereby improving product availability, reducing excess inventory, and supporting efficient growth.

Job Location

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, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY. Only accepts W-2 candidates, H-1B sponsorship is not available.

Responsibilities

• Create advanced statistical, and machine learning models that optimize inventory management processes, fostering efficient allocation and utilization of resources.
• Interface with stakeholders in procurement and operations to devise systematic solutions for intricate inventory management challenges.
• Research and implement enhancements to existing models, keeping abreast of emerging methodologies in the field.
• Extract meaningful insights from data and formulate actionable recommendations that tangibly bolster the company's financial performance.
• Implement robust monitoring mechanisms to validate the efficacy of deployed solutions.

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.

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.