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7 часов назад

Demand Planning Data Scientist Lead

Формат работы
remote (только Malaysia)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Demand Planning Data Scientist Lead (Predictive Modeling/Machine Learning): Building statistical and machine-learning models for product-order forecasting across geographies with an accent on forecast accuracy, data quality, and business planning integration. Focus on analyzing forecast deviations, validating production-ready models, generating insights from large datasets, and communicating recommendations to commercial, finance, and operations stakeholders.

Location: Malaysia, Penang; remote work is available.

Company

hirify.global is the employer for this data science and demand planning role.

What you will do

  • Lead the development and implementation of statistical and machine-learning models for product-order demand forecasting across multiple geographies.
  • Partner with demand planners to analyze forecast accuracy, bias, value add, and deviations in Integrated Business Planning.
  • Design experiments, validate model performance, and prepare statistical models for production use.
  • Analyze large datasets to identify trends, patterns, and insights that support inventory, supply, and business planning decisions.
  • Recommend data collection, integration, and retention strategies in collaboration with cross-functional teams.
  • Communicate analytical gains, findings, and recommendations to commercial, finance, global operations, and management stakeholders.

Requirements

  • Bachelor’s or master’s degree in data science, statistics, computer science, or a related field.
  • Typically 10+ years of experience in data science or equivalent work experience.
  • Extensive knowledge of predictive modeling, machine learning, and statistical analysis.
  • Proficiency in Python, R, or SQL, plus experience with Tableau, Power BI, Qlik, Spotfire, or similar visualization tools.
  • Strong analytical, problem-solving, communication, leadership, and executive presence skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

Nice to have

  • Experience in commercial business planning and forecasting.
  • Familiarity with AWS, Azure, or Google Cloud.
  • Knowledge of advanced machine-learning techniques and frameworks.

Culture & Benefits

  • Full-time weekly schedule with the option to work remotely.
  • Day shift and no fixed end date.
  • Travel required for approximately 10% of the time.
  • Pay is determined by role, level, location, skills, experience, and education or training.
  • Equal opportunity employment under applicable laws.

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