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7 часов назад

Demand Planning Data Scientist

Формат работы
remote (только Malaysia)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Demand Planning Data Scientist (Demand Forecasting/ML): Building statistical and predictive models for product-order forecasting to generate reliable signals for inventory and supply plans with an accent on machine learning, statistical analysis, and large-scale data insights. Focus on validating and productionizing forecasting models, analyzing forecast accuracy and bias, and communicating data-driven recommendations to cross-functional business teams.

Location: Malaysia, Penang; remote work option available

Company

hirify.global is hiring for a data science role supporting integrated business planning and demand forecasting.

What you will do

  • Develop and implement predictive and statistical models to forecast product orders across geographies.
  • Use historical data, machine learning, market intelligence, and field sales input to improve demand forecasts.
  • Analyze forecast accuracy, bias, value add, and integrated business planning deviations with demand planners.
  • Design experiments, validate model performance, and prepare statistical models for regular production use.
  • Analyze large datasets to identify trends, patterns, and business insights through visualizations and reports.
  • Recommend improvements to data collection, integration, retention, and data-driven planning processes.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Typically 1–2+ years of experience in data science or equivalent work experience.
  • Extensive knowledge of predictive modeling, machine learning, and statistical analysis.
  • Programming proficiency in Python, R, or SQL.
  • Ability to collaborate with demand planners and cross-functional business stakeholders.

Culture & Benefits

  • Full-time weekly schedule with a day shift.
  • Remote work option available.
  • Occasional travel may be required.
  • Ongoing position with no stated end date.
  • Pay is determined by role, level, location, skills, experience, and education or training.

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