The Role
Develop and maintain mathematical optimization and simulation models for supply chain software. Analyze datasets, apply statistical and machine learning techniques, integrate algorithms with software platforms, troubleshoot customer issues, document technical solutions, and collaborate on cross-functional projects. The role focuses on inventory, forecasting, production planning, logistics, and continuous improvement of scalable optimization tools.
Summary Generated by Built In
About GAINSGAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster, and it's not a tagline, it's how we're redefining what's possible in supply chain decision-making.
Job Summary:
We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers.
Key Responsibilities:
GAINS may use artificial intelligence (AI) tools to assist in screening and/or assessing applications during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request an accommodation. The recruitment team can be reached at: [email protected].
We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.
Job Summary:
We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers.
Key Responsibilities:
- Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics.
- Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient.
- Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy.
- Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance.
- Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients.
- Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes.
- Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders.
- Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.
- Education: Master’s in Operations Research, Industrial Engineering, Applied Mathematics, or a related field.
- Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain.
- Technical Skills:
- Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling).
- Strong programming skills in languages such as Python, C++, or Java.
- Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools.
- Familiarity with supply chain management principles and practices.
- Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets.
- Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
- Teamwork: Ability to work effectively in a collaborative, cross-functional team environment.
- Adaptability: Willingness to learn and adapt to new challenges and technologies.
- Experience with machine learning techniques applied to supply chain problems.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies.
- Experience in the software development lifecycle, including version control and agile methodologies.
GAINS may use artificial intelligence (AI) tools to assist in screening and/or assessing applications during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request an accommodation. The recruitment team can be reached at: [email protected].
We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.
Skills Required
- Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related field
- 3+ years of experience in operations research, optimization, or a related role
- Experience preferably within the supply chain or logistics domain
- Proficiency in mathematical modeling and optimization techniques, including linear programming, integer programming, or stochastic modeling
- Strong programming skills in Python, C++, or Java
- Experience with optimization solvers such as Gurobi or CPLEX and simulation tools
- Familiarity with supply chain management principles and practices
- Strong problem-solving and complex data analysis abilities
- Excellent written and verbal communication skills
- Ability to work effectively in a collaborative, cross-functional team environment
- Willingness to learn and adapt to new challenges and technologies
- Experience applying machine learning techniques to supply chain problems
- Familiarity with cloud computing platforms such as AWS or Azure and big data technologies
- Experience with software development lifecycle, version control, and agile methodologies
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The Company
What We Do
At GAINS, our quest is to democratize supply chain planning. The GAINS Supply Chain Performance Optimization Platform helps businesses large and small Move Forward Faster with greater agility, resilience, confidence, and sustainability. The GAINS AI-driven cloud platform delivers continuous cost and profit optimization via machine learning, proven algorithms, and actionable analytics for global manufacturing, distribution, retail, and service parts/maintenance operations. Innovative design combined with the GAINS Proven-Path-to-Performance (P3) methodology enables rapid onboarding and tangible results, including increased sales, inventory turns, and service levels at reduced operating costs in as little as 8 weeks. GAINS proudly provides digital supply chain planning expertise to industry leaders like Graybar, Honda Motors, Menards, Rockwell Automation, Stuller, and Textron Aviation. For more information, visit www.gainsystems.com.
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