4 дня назад
Data Scientist (Supply Chain Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Supply Chain Analytics) (Python/Machine Learning): Designing and deploying predictive, prescriptive, and machine learning models for demand forecasting, inventory optimization, and supply chain planning with an accent on advanced analytics, data quality, and actionable business insights. Focus on developing Python and SQL solutions, translating supply chain requirements into analytics deliverables, and continuously improving model performance.
Location: Kuala Lumpur, Malaysia
Company
is a global toy and family entertainment company creating toys, content, consumer products, digital experiences, and live experiences across a portfolio of well-known brands.
What you will do
- Design and deploy predictive, prescriptive, and machine learning models for demand forecasting, inventory optimization, and supply chain planning.
- Develop Python code, SQL solutions, and data models supporting supply chain strategy.
- Apply statistical techniques and machine learning algorithms to identify trends, patterns, and anomalies.
- Partner with supply chain teams to translate business requirements into advanced analytics deliverables.
- Present data-driven solutions that improve efficiency, reduce costs, and support business decisions.
- Monitor, validate, and refine deployed models and analytics solutions.
Requirements
- Bachelor’s degree in Supply Chain, Statistics, Data Science, or a related field.
- At least 2–3 years of experience in data analytics, data science, or a related analytics role.
- Strong hands-on Python experience and familiarity with scikit-learn, pandas, NumPy, or similar libraries.
- Experience managing, validating, and improving data quality.
- Strong communication skills and the ability to work independently with some guidance.
- SQL experience, supply chain knowledge, and presentation or report-writing skills are advantageous.
Nice to have
- Supply chain industry or domain knowledge.
- Experience with SQL.
- Exposure to AI-assisted development tools such as Codex, LLM-based tools, Google AI, or Gemini.
- Presentation and report-writing experience.
Culture & Benefits
- Collaborative environment with shared goals and cross-functional partnership.
- Purpose-driven culture focused on innovation, accountability, and measurable outcomes.
- Flexible work model combining purposeful in-person collaboration with flexibility.
- Inclusive workplace focused on belonging, wellbeing, and professional growth.
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