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Data Optimization Specialist

2 months ago

Singapore ENVOY SEARCH PARTNERS PTE. LIMITED Full time
About the Role

We are seeking a highly skilled Data Optimization Specialist to join our team at Envoy Search Partners Pte. Limited. As a Data Optimization Specialist, you will play a critical role in developing and implementing advanced algorithms to solve complex optimization problems across various business functions.

Key Responsibilities
  • Optimization Problem Solving:
    • 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.
  • Data Analysis and Modeling:
    • 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.
  • Collaboration and Communication:
    • 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.
  • Tool Development and Deployment:
    • 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.
  • Continuous Improvement:
    • Stay updated with the latest advancements in optimization techniques, algorithms, and tools.
    • Continuously improve existing models and processes by incorporating new methodologies and technologies.
  • Documentation and Reporting:
    • 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.
Requirements
  • Education:
    • Bachelor/Master Degree degree in Data Science, Operations Research, Mathematics, Computer Science, or Statistics or similar quantitative field.
  • Technical Skills:
    • 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).
    • Solid understanding of optimization techniques, including linear programming, mixed-integer programming, and heuristic methods.
    • 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.
  • Analytical Skills:
    • Strong problem-solving skills with the ability to approach complex optimization problems in a systematic and creative manner.
    • Ability to perform deep data analysis and derive actionable insights from complex datasets.
    • Strong mathematical foundation in areas such as linear algebra, calculus, and probability, which are essential for understanding and developing optimization models.
  • Soft Skills:
    • Excellent communication skills with the ability to explain complex optimization concepts to non-technical stakeholders.
    • Strong project management skills with the ability to prioritize tasks and manage multiple projects simultaneously.
    • Ability to work independently and as part of a team, with a proactive approach to identifying and solving problems.
  • Experience:
    • 2+ years of experience in data science, with a focus on solving optimization problems. Experience in industries such as logistics, manufacturing, finance, or tech is preferred.
    • Demonstrated experience in leading optimization projects from conception to deployment, including model development, validation, and implementation.