Demand Data Scientist

Be a force for Good!
At Nestlé we touch millions of people’s lives every single day through the work we do and the products we create. This way we are helping to shape a happier, healthier future for individuals and families, for communities and for the planet. Join a dynamic global team of people that want to be a part of something that changes the world in a positive way. A human-centric place to work with amazing opportunities, across 188 countries, to grow, push the boundaries and deliver work with real impact. We recruit people who respect our values, we provide equal opportunities for all, and we protect everyone's privacy. We do not tolerate any form of harassment or discrimination. Our aim is to create workplaces where everyone feels included and able to bring their whole selves to work. This commitment starts at recruitment and continues to the end of the working relationship.

Position snapshot
Nestlé, HO, Greece
Reporting to: Demand & Supply Planning Manager
Undefined period of time contract. act. rate 100%

Position summary
The Demand Data Scientist uses data and statistical models to develop on a monthly level accurate statistical forecast. The Demand Data Scientist consistently evaluates the performance of the statistical forecast and is actively seeking opportunities for enhancements. Besides, the Demand Data Scientist is closely collaborating with demand planners to receive insights that might impact the performance of the statistical demand plan. 

A day in the life…

• Develop & sustain data models.
• Generate monthly accurate statistical forecast.
• Design and implement continuous improvement actions in the forecasting tool.
• Support the demand planning team at the market on the selection of statistical models by performing all required back-testing activities.
• Partner with the Demand Planners to collect inputs that can increase the accuracy of the statistical forecast.
   

What makes you successful

• A bachelor’s degree in a relevant field such as Supply Chain Management, Mathematics, Engineering, Computer Science or Data Science.
• A master’s degree or PhD in a relevant field such as Data Science, Statistics, Applied Mathematics or Industrial Engineering.
• Data science qualification. Deep knowledge on building data & quantitative models for statistical forecasting. Programming skills in languages such as Python and/or SQL. 
• Good understanding of supply chain. Experience in the consumer goods industry or supply chain analytics is a plus.
• Ideally 2+ years of experience in demand planning statistical modelling (e.g. time series analysis, regression analysis, machine learning algorithms) is a plus.
• Previous experience with SAS VIYA is a plus.

Why you should apply 

• Join the leading Food & Beverages company in the world with more than 93bio CHF sales and presence in 185 countries.  
• Be part of a fast-growing organization expanding locally and internationally.  
• Engage with our people from all over the world and join exciting local or international projects and assignments, constantly pushing boundaries.  
• Take full advantage of unlimited development opportunities through an extensive physical, virtual and hybrid learning ecosystem, both at local and international level.  
• Enjoy the wide range of Nestlé benefits such as competitive salary & performance bonus, meal vouchers, comprehensive Pension, Health Care & Life Insurance programs, increased Parental leaves for both caregivers and Baby Support plan, Flexible Work policy, “Bring Your Pet At Work” & Pet Support plan, in-house restaurant and mini market, participation to health and wellness activities and much more.   
   

A.I.
We are currently implementing an exciting new AI tool that is helping us and you schedule interviews in a more flexible way. Therefore, we kindly ask you to keep an eye on your email (and potentially spam/ junk email inbox), as you can expect an invitation with interview timeslots to choose from. We would also encourage you to say “yes” to receive WhatsApp notifications, as you will also receive the interview invitation here and you will be able to book your interview directly from WhatsApp. As this is new, we welcome any feedback you might have on our new interview scheduling tool. If you have any questions, feel free to contact with us at the email adress HR.Careers@gr.nestle.com