- 5 days work week (Hybrid)
- Central
- Salary up to $6,500
You will be responsible for developing and implementing advanced algorithms to solve complex optimization problems across various business functions. Your role will involve working with large datasets, building predictive models, and designing optimization solutions that drive efficiency and improve decision-making processes. You will collaborate with cross-functional teams, including operations, product development, and engineering, to translate business requirements into data-driven solutions.
Responsibility:
- 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.
Requirements:
- 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 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.
For consideration, kindly submit your CV by clicking “APPLY Now”
**Only shortlisted candidate would be notified**
EA Reg. No: R22107887 | Gladys Chang Si Min
