Global Data Scientist - Forecast

We are the Nestlé Nespresso SA Company and are proud to be one of the fastest growing operating unit of Nestlé. Our passionate, entrepreneurial-minded team has transformed Nespresso into the reference in portioned coffee and one of the world’s most trusted brands. Our growth comes from our commitment to research and development in order to pioneer and be the reference in the portioned coffee sector to provide the very highest quality coffees that could be enjoyed in the comfort of consumers' own homes and also savored at out-of-home locations, such as restaurants, hotels, offices and luxury retail businesses. We guarantee quality by taking a careful, thoughtful approach in how we source our ingredients, produce and market our premium coffee products. With corporate headquarters in Lausanne, Switzerland, Nespresso is present in over 60 countries and counts over 12,000 employees worldwide. To learn more visit www.nespresso.com.

Position Snapshot

Nespresso HUB

Location: Barcelona, Spain

Permanent Position

Level: H

Position Summary

The Global Data Scientist - Forecast is a Data Scientist supporting the strategy by anticipating and improving company’s projections.

He/she will support the Global Forecast Manager to define and to build predictive algorithms and projections.   
The main objectives are to deliver the best forecastings and projections for all markets and adapted to the need, and to produce strong and relevant insights nourrishing the different stakeholders.
He/she leverage all forecasting algorithms to ensure the best accuracy by collecting, analyzing and interpreting qualitative and quantitative data with statistical theories and forecasting methods. 

The Global Data Scientist - Forecast will:
-  Build and optimize forecast modelling
-  Follow the performance and adapt models developed 
-  Provide KPIs projection (active base, net acquisition, products...)
-  Support the different stakeholders

A day in the life of...

Build and optimize forecast modelling and follow the performance
- Build and optimize forecast models by testing new algorithm, new data, others
- Insure the right level of accuracy and robustness of each model
- Adapt the models when it will be needed and taking into consideration business constraint.              
Provide KPIs projections
- Project the CRM KPIs (active base, net acquitisiton…)
- Project the products sales (coffee launch, accessories….) and the impacts (cannibalization, change of consumption...)                
Support the different stakeholders
- Share the CRM key indicators needed (redemption rate,…)
- Give recommendations/insights according to the results
- Provide relevant deliverables (right level of information and format)               
 

What will make you successful

Education:
Master degree in engineering or equivalent with a specialisation on big data/data science, statistics (engineering school, specialized school, business school or university equivalent)
Experience:
Min. 3 - 5 years experience in Direct Marketing / CRM  or Finance experience, with data analysis, modelisation and machine learning 
International exposure or experience in working with multicultural teams
Strong experience in forecasting modelisation
Skills:
Mastering mathematical algorithms with software or language as IBM Modeler, Python, R
Expertise working with structured and unstructured data
Experience with BI and data visualization tools, Power BI experience will be  an asset

Fluent in English
 

Nestlé is the largest food and beverage company. We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: repect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries. We believe our people are our most important asset, so we'll offer you a dynamic inclusive international working environment with many opportunities across different businesses, functions and geopraphies, working with diverse teams and cultures. Want to learn more? Visit us at www.nestle.com.