Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
About the role
- Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
Responsibilities
- Build and maintain forecasting models and tools.
- Monitor model performance and implement improvements.
- Collaborate with demand planners and analysts to gather insights and inputs.
- Conduct back-testing and support tool setup.
- Ensure timely and accurate forecast generation.
- Drive adoption of statistical forecasting methods.
Requirements
- Bachelor’s degree in Mathematics, Engineering, Computer Science, or Data Science.
- 2+ years of experience in demand modeling (time series/statistical/ML).
- Proficiency in Python/PySpark, Azure, Snowflake, and Databricks.
- Strong understanding of end-to-end supply chain processes.
- Strong analytical and problem-solving abilities.
- Ability to explain complex concepts simply.
- Collaborative mindset and openness to feedback.
- Fluent in English.
Benefits
- Development of expertise in Nestlé’s Business Services unit
- Immersion in a culturally diverse team
- Local and international exposure
- Flexible working environment
- Engagement and wellbeing activities
- Competitive salary and annual bonus according to your performance
- Meal allowance
- Free coffee (and good coffee) at the office
- Medical insurance
- E-learning courses and training program to get you where you aim to be
- Career progression and possibilities for an international career
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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