Optimization Specialist

2 weeks ago


Singapore beBeeSpecialist Full time $80,000 - $120,000
Optimization Specialist

As a key member of our Data Science team, you will design and develop advanced analytical models to optimize resource utilization, forecast demand, and enhance operational efficiency. This role requires a blend of statistical expertise, machine learning proficiency, and business acumen to drive impactful decisions.

Key Responsibilities:

  • Design and develop data-driven models and frameworks that support intelligent assignment, prioritization, and resource utilization across operational workflows.
  • Build and refine demand forecasting models to support workforce planning, inventory management, and operational scaling.
  • Design algorithms to optimize resource allocation, balancing cost, efficiency, and service quality.
  • Transform raw signals such as behavioral data, labelling task attributes, and performance metrics into structured features for decision-making.
  • Monitor model performance, iterate on solutions, and incorporate feedback to enhance accuracy and impact.
  • Develop and manage project plans, timelines, and budgets for data science initiatives.
  • Communicate project progress, challenges, and results to stakeholders and senior management.

Requirements:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Operations Research, or a related field.
  • At least 1 year of experience applying machine learning, statistical modeling, or optimization to operational or business challenges.
  • Experience in resource allocation, capacity planning, or operations research.
  • Proficient in Python and SQL; experience working with large-scale or distributed data systems.
  • Track record of owning end-to-end data projects, from requirements gathering to implementation.
  • Excellent communication skills along with the ability to communicate technical insights clearly to both technical and business audiences.

What We Offer:

  • A dynamic and collaborative work environment.
  • Ongoing opportunities for professional growth and development.
  • A competitive compensation package.
  • A chance to make a meaningful impact in a rapidly growing tech company.


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