Python Job: Data Scientist

Job added on

Company

Nestle

Location

Madrid - Spain

Job type

Full-Time

Python Job Details

About IT at Nestlé

We are a diverse, international team of Analytical professionals applying advanced analytics solutions in the world’s biggest health, nutrition and wellness company.

As an internal consultancy, we collaborate with our colleagues in sales & marketing around the world to deliver value in the areas of marketing effectiveness, and price & promo effectiveness.

In order to complete our Analytics Service Line department, we are currently looking for a Senior Data Scientist / Modeller with FMCG experience in use cases like Advanced audience segmentation, LTV, Attribution modelling, Marketing Mix Modelling and Price & Promo Analytics.


A day in the life of...

You’ll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and varied geographies.
You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy.

As part of this role you will need to:

  • Share your experience & knowledge and build Nestlé’s internal modelling capability
  • Partner with stakeholders to build and deliver a portfolio of advanced analytics initiatives
  • Work closely with the business to identify and answer business problems/questions using appropriate modeling techniques on available data
  • Evangelize and provide advisory services around data science capabilities and knowledge within Nestlé
  • Work with large, complex data sets and solve non-standard problems
  • Suggest and recommend the business value and transmit key learnings to the organization


What will make you successful?

  • MSc level (or equivalent) in Math, Statistics, Physics, Operations Research, Econometrics or Data Science.
  • Have proven experience of handling large datasets and reporting automation.
  • Be able to demonstrate an experience delivering advanced use cases for digital marketing & eCommerce
  • Experience with dynamic linear models/state space models is of particular interest.
  • Have the ability to network and influence at senior levels both internally and externally.
  • Be able to interpret data and explain business performance in an easy to understand way that tells a story to key stakeholders.
  • Have proven experience of working in a matrix environment; achieving results through effective influencing and collaboration.
  • Have advanced MS Excel, SQL, R, Python (or similar) experience Knowledge of using Google Cloud is a plus
  • Experience use cases like Advanced audience segmentation, LTV, Attribution modelling, Marketing Mix Modelling and Price & Promo Analytics. Preferably experience working directly or indirectly with digital marketing & eCommerce teams
  • Fluent English

Join us!
Show us that you are an enthusiastic, motivated, fast learner and team player person who is used to work with agile practices. Your ability to be flexible, self-motivated and your willingness to do whatever it takes to deliver on a deadline will set you apart among the other candidates. Please do not hesitate and apply in English at www.nestle.com/jobs. We are excited to hear from you!
The Nestlé Group is the world’s largest food and beverage company with 89.8 billion Swiss Francs in sales in 2017. It is present in 189 countries around the world, has 413 factories and its 323,000 employees are committed to Nestlé’s purpose of enhancing quality of life and contributing to a healthier future. Nestlé offers a wide portfolio of products and services for people and their pets throughout their lives. Its more than 2000 brands range from global icons like Nescafé or Nespresso to local favourites. Company performance is driven by its Nutrition, Health and Wellness strategy. Nestlé is based in the Swiss town of Vevey where it was founded more than 150 years ago. Learn more about our Group and reasons to join us on www.nestle.com.