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Inventory Management Data Scientist Jobs (NOW HIRING)

We are seeking a skilled Data Scientist to support our BI & Analytics team supporting Global ... inventory management, and supplier performance to optimize efficiency, reduce costs, and enhance ...

Hands-on experience with enterprise data science solutions , preferably in retail, inventory management, or operations research. * Proficiency in Python, SQL, and PySpark. * Experience with ...

Data Scientist

Dallas, TX · On-site

$81K - $135K/yr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The Manager, Data Science - Planning & Allocation is responsible for developing and operationalizing ...

Data Scientist

Dallas, TX · On-site

$81K/yr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The Manager, Data Science - Planning & Allocation is responsible for developing and operationalizing ...

Create predictive inventory and labor planning models to optimize staffing levels, inventory management, and operational efficiency. Qualifications & Skills: * Bachelor's degree in Data Science ...

... inventory management, and operational optimization; and designing dashboards and data ... Bachelor's degree in data science, computer science, statistics, mathematics, engineering ...

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... inventory management, and operational optimization; and designing dashboards and data ...

NY · On-site

Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions ... Exposure to market-making workflows and risks (inventory management, P&L drivers, spread ...

Supporting roles include Data Scientists and Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus.

Own or contribute to the enterprise data inventory, including priority systems, data owners ... Experience with semantic layers, ontologies, metadata management, knowledge bases, embeddings ...

Own or contribute to the enterprise data inventory, including priority systems, data owners ... Experience with semantic layers, ontologies, metadata management, knowledge bases, embeddings ...

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

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Inventory Management Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do inventory management data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for inventory management data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an inventory management data scientist do?

An Inventory Management Data Scientist analyzes large sets of data related to inventory levels, supply chain processes, and customer demand to optimize stock and improve efficiency. They use statistical models, machine learning, and predictive analytics to forecast inventory needs, minimize shortages, and reduce excess inventory. Their work helps businesses save costs, ensure product availability, and make data-driven decisions about purchasing and distribution.

How does an inventory management data scientist typically collaborate with supply chain and operations teams?

Inventory Management Data Scientists work closely with both supply chain and operations teams to analyze data, forecast demand, and optimize inventory levels. They frequently communicate insights through dashboards and reports, and may participate in cross-functional meetings to ensure analytical models align with business needs. Collaboration often involves translating complex data findings into actionable strategies that help streamline processes, reduce costs, and prevent stockouts or overstock situations. This teamwork is essential for implementing data-driven solutions that have a tangible impact on day-to-day operations.

What are the key skills and qualifications needed to thrive as an inventory management data scientist, and why are they important?

To thrive as an Inventory Management Data Scientist, you need expertise in statistics, data analysis, and inventory optimization, often supported by a degree in data science, statistics, or a related field. Familiarity with programming languages like Python or R, experience using SQL databases, and proficiency with data visualization tools and forecasting software are typically required. Strong problem-solving abilities, effective communication, and business acumen help translate complex data insights into actionable strategies. These skills are crucial for optimizing inventory levels, reducing costs, and supporting efficient supply chain operations.

What is the difference between Inventory Management Data Scientist vs Supply Chain Analyst?

AspectInventory Management Data ScientistSupply Chain Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fieldBachelor's/Master's in Supply Chain, Logistics, or Business
Work EnvironmentData-driven roles within logistics or retail companiesOperational roles focusing on supply chain processes
Employer & Industry UsageRetail, manufacturing, logistics firmsManufacturing, retail, distribution centers
Common Search & ComparisonYesYes

The Inventory Management Data Scientist focuses on analyzing data to optimize inventory levels using advanced analytics and machine learning. In contrast, a Supply Chain Analyst concentrates on overall supply chain operations, including procurement, logistics, and distribution. Both roles require analytical skills but differ in their focus areas and typical responsibilities within the supply chain ecosystem.

Is an inventory management data scientist job still in demand?

Inventory management data scientist roles are in demand as companies seek to optimize supply chains and inventory levels using data analytics and machine learning tools. These positions often require skills in statistical analysis, programming, and familiarity with inventory management systems, and they are expected to grow with the increasing adoption of data-driven decision-making in logistics and retail sectors.

What are popular job titles related to Inventory Management Data Scientist jobs?

For Inventory Management Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Inventory Management Data Scientist job openings in the United States as of September 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Inventory Management Data Scientist

Lancaster, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Clark Associates rating

8.0

Company rating: 8.0 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

119th of 430 rated retail wholesalers


Job description

Job Summary

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 90,000+ products to our valued customers within an efficient 1-2 business day timeframe.


This role sits on the Augmented Inventory Management (AIM) team within Procurement Operations. The team is responsible for building and improving the systems that drive inventory decisions at scale—ensuring the right products are in the right place at the right time across our distribution network.


As part of AIM, you will use data, forecasting, and optimization models to directly influence purchasing, allocation, and replenishment strategies. Your work will help improve product availability, reduce excess inventory, and support efficient growth as the business continues to scale.


This is a highly applied role focused on solving real operational problems. You’ll partner closely with Procurement and Operations to translate business needs into prescriptive solutions, while continuously improving the models and processes that power our inventory decisions.

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.
Physical Requirements
  • Work 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.
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: (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). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • 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.
Company Overview

A rapidly growing, multi-divisional company headquartered in Lancaster, Pennsylvania with services supporting all of Clark’s distribution methods in the food service industry.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

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