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Job Description
Roles and responsibilities
- Develop and apply advanced operations research models, including optimization, simulation, and stochastic models, to solve complex business challenges.
- Work closely with engineering, data science, and product teams to integrate OR models into SaaS platforms, providing actionable insights to enhance product performance.
- Design and implement optimization algorithms (e.g., linear programming, mixed-integer programming, and nonlinear optimization) to drive business efficiency and effectiveness.
- Analyze large datasets and develop predictive models using statistical and machine learning techniques to improve decision-making processes.
- Develop mathematical models, simulations, or optimization algorithms to represent real-world systems or problems. Use techniques like linear programming, dynamic programming, queuing theory, or game theory to create models.
- Build simulation models to evaluate potential solutions and improve resource allocation, scheduling, and supply chain logistics.
- Collaborate with stakeholders to understand business requirements and translate them into mathematical models and algorithmic solutions.
- Collaborate with cross-functional teams such as engineering, product, and operations to implement solutions. Communicate findings, insights, and recommendations to non-technical stakeholders through reports, presentations, or data visualizations.
- Communicate complex mathematical concepts and results to non-technical stakeholders in a clear and understandable manner.
- Monitor the performance of implemented solutions and refine models over time based on feedback and new data. Stay updated with the latest advancements in operations research, machine learning, and optimization, and apply best practices to develop innovative solutions.
- Document models, algorithms, and analytical processes for future reference and team knowledge sharing. Generate reports that summarize the outcomes of analyses and model performance.
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- Masters or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field.
- Strong expertise in mathematical modeling, optimization techniques (linear programming, dynamic programming), and statistical analysis.
- Proficiency in programming languages such as Python, R, C++, and experience with optimization tools (Gurobi, CPLEX, MATLAB).
- Familiarity with data analysis, machine learning techniques, and simulation.
- Excellent problem-solving skills and the ability to translate complex problems into actionable insights.
- Strong collaboration skills and the ability to communicate complex concepts to non-technical stakeholders.
- Experience managing or contributing to research projects in a fast-paced environment.
Skills
PythonData AnalysisData ScienceMachine LearningStatistical ModelingIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
GreyOrange is a leading robotics and automation company revolutionizing supply chain operations worldwide. With GreyOrange Careers, it offers dynamic opportunities for passionate individuals to join its innovative team. Pioneering cutting-edge technologies like AI and machine learning, GreyOrange optimizes logistics processes for e-commerce, retail, and logistics companies. Employees at GreyOrange Careers collaborate in a stimulating environment, driving impactful solutions and pushing the boundaries of automation. From software development to engineering and beyond, GreyOrange Careers provide avenues for personal growth and professional development. Join GreyOrange Careers to be part of a forward-thinking company shaping the future of logistics and robotics.
Important dates & deadlines?
Application Deadline
24 Nov 25, 05:40 PM IST
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Senior Engineer - Operations Research
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