Primary Job Description
- Develop, implement, and maintain optimization models to solve complex business problems related to resource allocation, scheduling, supply chain management, and other operational areas.
- Identify optimization opportunities within the business and design custom algorithms to address them.
- Collect, clean, and preprocess large datasets from multiple sources.
- Build and validate predictive models using statistical, machine learning, and optimization techniques.
- Conduct exploratory data analysis to uncover trends, patterns, and insights that inform optimization strategies.
- Work closely with stakeholders to understand business objectives, constraints, and requirements.
- Collaborate with cross-functional teams (e.g., engineering, product, operations) to integrate optimization solutions into existing systems and processes.
- Present findings, insights, and optimization strategies to both technical and non-technical audiences.
- deep dive into the business domain to apply appropriate optimization techniques based on the hypotheses made and be able to express clearly the findings to stakeholders.
- Develop and deploy optimization tools, dashboards, and visualizations that enable business users to interact with and leverage optimization solutions.
- Ensure the scalability and robustness of deployed solutions in a production environment.
- Stay updated with the latest advancements in optimization techniques, algorithms, and tools.
- Continuously improve existing models and processes by incorporating new methodologies and technologies.
- Document all stages of the optimization problem-solving process, including data preparation, model development, and results.
- Produce regular reports that detail the impact of optimization solutions on business outcomes.
Qualifications And Experiences
- Bachelor/Master Degree degree in Data Science, Operations Research, Mathematics, Computer Science, or Statistics or similar quantitative field.
- Strong proficiency in programming languages such as Python, R, or Julia, with a focus on data manipulation and model development.
- Experience with optimization libraries and tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo).
- Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn) and how they integrate with optimization models.
- Experience with data processing tools and frameworks such as SQL, Pandas, and NumPy.
- Proficiency in data visualization tools (e.g., Looker, Tableau, Power BI, Matplotlib) to present findings and optimization outcomes.
- Experience with cloud computing platforms (e.g., Google Cloud, AWS,) and deploying optimization solutions in the cloud.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and their application in large-scale optimization problems.
Interested applicants, please Email , and look for
Jensen Fang Lifa, [email protected]
Recruit Express Pte Ltd
EA License No. 99C4599
EA Personnel Registration Number: R2197080
We regret that only shortlisted candidates will be contacted.
