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Senior Inventory Control Jobs in Appleton, WI (NOW HIRING)

LF Bioenergy

Plant Operator

Brillion, WI · On-site

This role reports to LF's Senior Regional Operations Manager. The Plant Operators will have overall ... Working Conditions · Daily use of computers and electronic control systems for process equipment ...

lwg

General Service Technician - Midas

Appleton, WI · On-site

$15 - $18.50/hr

Perform quality control checks and test-drive vehicles to verify repairs and diagnose any remaining ... Collaborate with senior Automotive Technicians, management staff, and other team members to ...

lwg

Automotive Technician - Midas

Appleton, WI

Perform quality control checks and test-drive vehicles to verify repairs and diagnose any remaining ... Collaborate with the Store Manager and senior management to develop and execute business plans ...

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Senior Inventory Control information

See Appleton, WI salary details

$29.3K

$56.5K

$96.6K

How much do senior inventory control jobs pay per year?

As of Jul 12, 2026, the average yearly pay for senior inventory control in Appleton, WI is $56,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $64,900.00 per year, depending on experience, location, and employer.

How does a Senior Inventory Control professional typically collaborate with other departments to ensure accurate stock levels?

Senior Inventory Control professionals work closely with purchasing, warehouse, and sales teams to maintain optimal inventory levels. They often coordinate regular cycle counts, investigate discrepancies, and communicate findings to relevant departments to prevent stockouts or overstock situations. Their role involves analyzing inventory data and making recommendations for process improvements, fostering a collaborative environment to support overall supply chain efficiency.

Is inventory control a stressful job?

Inventory control positions can be stressful due to the need for accuracy, tight deadlines, and managing stock levels to prevent shortages or overstocking. The role often requires attention to detail, organizational skills, and the use of inventory management software, which can contribute to workload pressure during busy periods.

What is the role of senior Inventory Controller?

A senior Inventory Controller oversees inventory management processes, ensuring accurate stock levels, proper storage, and timely replenishment. They analyze inventory data, coordinate with procurement and warehouse teams, and often use inventory management software to optimize stock control and reduce costs.

What are Senior Inventory Control specialists?

Senior Inventory Control specialists are experienced professionals responsible for overseeing and optimizing a company's inventory management processes. They monitor stock levels, coordinate inventory audits, and implement procedures to minimize discrepancies and losses. These specialists often work closely with supply chain, purchasing, and warehouse teams to ensure accurate records and efficient inventory flow. Their expertise helps organizations reduce costs, prevent stockouts or overstock situations, and maintain high levels of accuracy in inventory tracking.

What are the 4 types of inventory control?

The four main types of inventory control are perpetual, periodic, ABC analysis, and just-in-time (JIT). Perpetual and periodic systems track inventory continuously or at regular intervals, while ABC analysis categorizes items based on their value, and JIT minimizes inventory by receiving goods only as needed. Effective inventory control helps senior inventory control professionals optimize stock levels and reduce costs.

What is the career path for inventory control?

A career path for inventory control professionals often begins with roles such as Inventory Clerk or Assistant, progressing to Inventory Control Specialist or Supervisor. With experience, individuals can advance to roles like Inventory Manager, Supply Chain Coordinator, or Operations Manager, often requiring skills in inventory management software and certifications such as APICS CPIM or CSCP.

What are the key skills and qualifications needed to thrive as a Senior Inventory Control specialist, and why are they important?

To thrive as a Senior Inventory Control specialist, you need expertise in inventory management, data analysis, and a solid understanding of supply chain processes, typically supported by a bachelor's degree in business, logistics, or a related field. Familiarity with enterprise resource planning (ERP) systems like SAP or Oracle, and proficiency in Excel or inventory management software, are essential. Strong attention to detail, problem-solving abilities, and effective communication are vital soft skills for this role. These skills ensure accurate inventory tracking, minimize losses, and support efficient operations, which are critical for organizational profitability and customer satisfaction.
What are the most commonly searched types of Inventory Control jobs in Appleton, WI? The most popular types of Inventory Control jobs in Appleton, WI are:
What job categories do people searching Senior Inventory Control jobs in Appleton, WI look for? The top searched job categories for Senior Inventory Control jobs in Appleton, WI are:
Senior Inventory Control jobs near you
Principal Data Scientist

Principal Data Scientist

U.S. Venture, Inc.

Appleton, WI • On-site

Full-time

Posted 9 days ago

U.S. Venture rating

7.9

Company rating: 7.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

107th of 366 rated retail wholesalers

Job description

POSITION SUMMARY
As the most senior individual contributor on our Data Science team, you will set the technical direction for how U.S. Venture applies advanced data science, machine learning, and emerging AI capabilities to solve the most complex problems in distribution and supply chain. You will operate as a hands-on technical leader-personally architecting and building the highest-impact models-while shaping the analytical strategy, raising the bar on engineering rigor, and developing the next generation of data scientists. Your deep command of supply chain and distribution strategy, combined with mastery of modern AI techniques and a strongly collaborative approach, will be instrumental in turning data science into a durable competitive advantage for U.S. Venture and its operating companies.
This role will ideally be located in Appleton, WI, however, we are open to considering remote/hybrid candidates based on the relevancy of experience. On-site time would be required in Appleton, WI.
JOB RESPONSIBILITIES
Development:
  • The expectation is that this individual will join the team as a recognized expert with mastery across the following:
    • Understanding of core processes: data collection, cleansing, data models, data modeling and data visualization.
    • Deep understanding of the distribution, supply chain, and transportation businesses that U.S. Venture operates in, including the economics, operating constraints, and decision-making contexts that drive value for our internal and external clients.
    • Setting the standard for engineering quality and coding practices used by the Data Science Team, while personally producing production-grade work in the languages used at U.S. Venture (SQL, R, Python) and the surrounding tooling for testing, version control, and deployment.
    • Advanced statistical and machine learning modeling techniques, including classification, regression, deep learning, reinforcement learning, and modern generative AI / large language model techniques.
    • Data engineering and feature engineering concepts at scale, including pipelines built on modern cloud data platforms (e.g., Azure Data Factory / Synapse / Fabric, GCP BigQuery, Dataflow, and open table formats such as Iceberg).
    • Optimization model methodologies applied to large-scale distribution networks, inventory positioning, routing, and labor allocation problems.
    • Forecasting model development, lifecycle management, and continuous improvement across demand, supply, and operational signals.
    • Designing and deploying models into production with the surrounding MLOps practices-CI/CD, monitoring, drift detection, retraining, and responsible-AI guardrails.

Innovation
  • The Data Science Team is one of the teams at the forefront of innovation at U.S. Venture. This individual will be expected to set the technical direction for data science innovation across the enterprise and to be the most senior technical voice in shaping where the team places its bets.
  • This individual will be accountable for continuously advancing our modeling techniques through R&D-improving accuracy, runtime performance, scalability, and explainability-and for personally tackling the problems that no one else on the team can.
    • They will define and shepherd the R&D portfolio for the Data Science Team, sequencing the experiments and proofs that will be executed by Lead and Senior team members and ensuring those experiments translate into production capability.
  • This individual will be expected to push the art of the possible, generate the ideas that define our multi-year analytical roadmap, and pull AI and other emerging technologies into how U.S. Venture solves real distribution and supply chain problems.
  • This individual will personally architect-and in the highest-stakes cases personally build-the most complex models, simulations, optimizations, and AI-enabled solutions that drive material business decisions.
  • This individual will maintain an active external network with peers and researchers at the leading edge of data science and AI-academia, partner labs, vendors, and the broader practitioner community-and will translate that signal into concrete capability for the Data Science Team and U.S. Venture.
    • They are expected to continuously evaluate new platforms, frameworks, and AI capabilities (including foundation models, agentic patterns, and adjacent emerging technologies) and to make the call on what U.S. Venture should adopt, pilot, or pass on.

Execution
  • This individual will personally execute the highest-stakes, most technically demanding projects in the Data Science portfolio-the work that requires the deepest technical judgment and where success or failure has the largest business consequence.
  • They will partner directly with Data & AI leadership to shape the multi-year analytical strategy, R&D investments, and the integration of AI into the broader Enterprise Platform.
  • This individual is the final technical authority on which modeling approach is used for the team's most significant work, and is accountable for the rigor and defensibility of that choice in front of senior leadership.
  • The responsibilities this individual also includes:
    • Leveraging the full range of statistical, machine learning, and AI techniques to create new analytical products and capabilities for U.S. Venture and its operating companies.
    • End-to-end forecast modeling which includes
      • Modeling the dataset
      • Evaluating multiple modeling techniques
      • Building and orchestrating a pipeline that deploys final model to production
    • Building and executing optimization models for the most complex distribution and logistics network problems-multi-echelon inventory, routing, network design, capacity, and labor.
    • Developing and deploying simulation and digital-twin models that allow internal and external clients to evaluate outcomes under uncertainty and make better strategic and operational decisions.
    • Communicating outcomes, tradeoffs, and recommendations to senior leadership-including executive, board, and external client audiences-with the credibility to influence material business decisions.
    • Setting the standard for technical documentation and design review across the Data Science Team, and serving as the final reviewer on the team's most consequential work.

Collaboration:
  • This individual must have outstanding interpersonal and influencing skills, with the ability to build rapport and earn credibility at every level-from engineers and analysts up through the CIO, executive leadership team, and business unit presidents.
  • This person will partner closely with Engineering, Architecture, Business Analytics, the business unit operating teams (including U.S. AutoForce, Breakthrough, and the Energy businesses), and external partners-ensuring the Data Science roadmap is tightly coupled to the Enterprise Platform, distribution strategy, and business outcomes across a diverse multi-BU portfolio.
  • Working with all team members to lead the continuous improvement of the team's engineering, modeling, and review practices.
  • Actively mentor and develop Lead, Senior, and earlier-career data scientists-bringing new concepts, techniques, and methodologies to the team and investing in the long-term growth of the people who will be the next generation of senior practitioners.
    • Be the team's primary educator on emerging techniques and AI capabilities-running working sessions, code reviews, design reviews, and worked examples that raise the technical ceiling of the entire group.

QUALIFICATIONS
Required:
  • Bachelor's or Master's degree in Industrial Engineering, Industrial Management, Operations Research, Data Analytics, Statistics, Economics, Computer Science, Business Administration, or a related field involving problem solving and critical thinking, or equivalent work experience.
  • 12+ years of relevant experience, including significant hands-on time leading the design, development, and production deployment of advanced statistical, machine learning, and AI models against real distribution, supply chain, or comparably complex operating problems.
  • Expert ability to develop effective data visualizations that are used by upper management in decision-making situations.
  • Strong, demonstrable track record of building data science and AI solutions that have delivered material, measurable business outcomes in distribution, supply chain, or comparable operationally complex environments.
  • Mastery of multiple programming languages, frameworks, and technologies, specifically SQL, Python and/or R, modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and workflow orchestrators (e.g., Airflow, Dagster, or equivalent).
  • Expert understanding of database concepts, data modeling principles, and modern cloud data platforms (e.g., Azure Data Factory / Synapse / Fabric, GCP BigQuery, Dataflow, and open table formats such as Iceberg, or equivalent).
  • Strong command of distribution and supply chain strategy and economics, with direct experience applying data science to distribution, transportation, and/or energy operating problems strongly preferred.
  • Expertise in advanced statistical concepts and modern AI/ML modeling techniques, including deep learning architectures (e.g., transformers, LSTMs, GNNs), reinforcement learning, and applied generative AI / large language model techniques.
  • Demonstrated ability to mentor and grow data scientists at every level-technical and durable skillsets-and to raise the overall technical bar of a team.
  • Proven record of creating a collaborative environment that builds a team mentality.
  • Excellent problem-solving skills and the ability to navigate complex analytical and data-related challenges.
  • Advanced analytical skills with an emphasis on attention to detail and being able to look at a problem from multiple angles and perspectives.
  • Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

DIVISION:
Corporate
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
99-00-821-0000

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