7 часов назад
Demand Planning Data Scientist Lead
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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