Highlights
Lead optimization projects, develop mathematical models, conduct data analysis, implement scalable algorithms using Python.
Description
Job Summary
pWe are seeking a Mathematician to lead the production scheduling automation and optimization project. You will develop mathematical models, conduct data analysis, implement algorithms using Python, and collaborate with cross-functional teams.
Responsibilities
- Develop and formulate optimization problems as linear programming, integer programming, mixed-integer programming, or constraint programming models.
- Conduct exploratory data analysis to identify patterns and trends in large datasets.
- Implement mathematical models using Python for efficient and scalable solutions.
- Create simulation models to evaluate scheduling strategies and their impact on manufacturing efficiency.
- Evaluate the performance of optimization models through experiments and simulations.
- Collaborate with cross-functional teams to understand requirements and translate them into operational solutions.
- Provide operations research algorithm expertise in supply chain and operations projects.
- Optimize inventory management, including multi-echelon inventory and probabilistic-based strategies.
Required Skills
- Data analysis
- Python programming
- Mathematical modeling
- Statistical techniques
- Algorithm implementation
Required Skills Explained
- Mathematical Modelling: Understanding of linear, integer, mixed-integer programming, and constraint programming to solve complex optimization problems.
- Data Analysis: Ability to work with large datasets, perform exploratory data analysis, and apply statistical and machine learning techniques.
- Model Implementation: Proficiency in implementing mathematical models using Python or similar languages for efficient and scalable code development.
- Simulation: Expertise in developing and running simulation models to evaluate scheduling strategies and their impact on manufacturing efficiency.
- Performance Evaluation: Knowledge of conducting experiments and simulations to evaluate the performance of optimization models and algorithms, identifying areas for improvement.
- Cross-Functional Collaboration: Ability to work with data engineers, software developers, and business stakeholders to translate requirements into operational solutions.
Who is this for
pThis role is ideal for candidates with a strong background in operations research and experience in supply chain management. Ideal candidates should have excellent communication skills to convey complex concepts effectively.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge projects in the field of supply chain optimization and operations research.liExposure to large-scale datasets and advanced analytical techniques, enhancing your professional skill set.liChallenging and diverse tasks that contribute directly to business efficiency and profitability.liCollaborative environment with cross-functional teams, providing a well-rounded career experience.liPotential for innovation and impact on industry standards through the development of new algorithms and models.
Interview Preparation Tips
- Familiarize yourself with Python programming and its libraries relevant to data analysis and optimization.
- Prepare examples or case studies where you have successfully applied mathematical modeling or optimization techniques in a real-world setting.
- Practice explaining complex concepts in simple terms, focusing on your ability to communicate effectively with non-technical stakeholders.
- Research Goodyear’s operations research projects and supply chain management practices to demonstrate industry knowledge.
- Discuss specific examples of how you have collaborated with cross-functional teams to solve problems.
Career Growth in This Role
pThis role offers significant opportunities for career growth, particularly for those interested in advancing their expertise in operations research and supply chain optimization. With experience, you can take on more complex projects, lead larger teams, and even move into leadership positions within the field of operations management.pThe skills gained here, such as mathematical modeling, data analysis, and simulation, are highly transferable and valued across various industries. This role also provides a platform to develop strong cross-functional collaboration skills, which are crucial for advancement in any business environment.
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Skills
Frequently Asked Questions
What experience is required?Candidates should have 1-3 years of experience in operations research projects.
Is Supply Chain experience necessary?While not mandatory, supply chain and manufacturing experience can be a plus.
What are the key skills needed for this role?Key skills include data analysis, Python programming, mathematical modeling, statistical techniques, and algorithm implementation.
