We are looking for an experienced Data Scientist to be part of our Commercial Analytics and Marketing Science team

Position Snapshot

  • Location: Nestlé Global Hub in Barcelona, Spain
  • Stream: IT Analytics, Data and Integration 
  • Permanent Contract
  • Bachelor’s degree in Math, Statistics, Physics, Operations Research, Econometrics or Data Science (or equivalent) & preferably Master’s degree in Statistics, Econometrics, Data Science, Big Data (or similar)
  • Fluent English 

About You 
Are you an expert in applying advanced analytics to solve marketing and sales business problems? Do you have a passion for understanding customer journey and analyzing/ optimizing the Customer Lifetime Value? Does “prototyping” in areas of Digital Marketing and eCommerce make you feel excited? If so, we want you to join our team as a Data Scientist! 

A day in the life of a Data Scientist 
As a Data Scientist, you will be responsible for using advanced analytics to provide robust measurements in the area Digital marketing performance and effectiveness, various product categories, and varied geographies. You will work closely with stakeholders in different zones and working for different categories to provide guidance on how to best size and optimize the return on investment from Digital Marketing & Digital ecosystem initiatives, and support the commercial strategy. 

What you'll do: 

  • Share your experience and knowledge and build Nestlé's internal Data Science capabilities.
  • Partner with marketing & commercial stakeholders to build and deliver a portfolio of advanced analytics initiatives.
  • Work cross-functionally to identify and answer business problems/ and questions using appropriate modeling techniques on available data
  • Evangelize and provide advisory services around data science capabilities and knowledge within Nestlé and work with large, complex data sets and solve non-standard problems. 

We offer you
We offer more than just a job. We put people first and inspire you to become the best version of yourself.

  • Great benefits including competitive salary and a comprehensive social benefits package. We have one of the most advantageous pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
  • Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
  • Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen, and areas to co-create network and chill!
  • Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

Minimum qualifications:

  • You are educated to BSc or preferably with MSc level (or equivalent) in Math, Statistics, Physics, Operations Research, Econometrics, or Data Science.
  • You have minimum 5 years of proven experience of handling large datasets and reporting automation and are able to demonstrate an excellent understanding of various types of analysis like: regression modeling, classification methods, propensity modeling, clustering/segmentation algorithms, customer analysis, customer life time values etc.
  • You feel excited with the idea of prototyping and experimenting new approaches and methodologies in different business areas
  • You should have the ability to network and influence at senior levels both internally and externally and be able to interpret data and explain business performance in an easy-to-understand way that tells a story to key stakeholders. 
  • You have proven experience of working in a matrix environment, achieving results through effective influencing and collaboration. 
  • You have advanced MS Excel, SQL, Python (preferred), R, (or similar) experience.  


Bonus Points If You have:

  • Any proven experience in the afore-mentioned statistical methodologies, will be highly valued.
  • Previous experience in Data Science roles, with proven career track, is a plus.
  • Exposure to Digital Marketing analytics and/or eCommerce, is a plus.
  • Previous experience within FMCG industry is a plus, but not mandatory.

About the IT Hub
At Nestlé IT, we are a diverse, global team of IT professionals in the biggest health, nutrition and wellness company of the world. We strive to create an environment where people are valued for who they are. We innovate every day through future ready technologies to create opportunities for Nestlé to delight consumers, customers and employees alike.  We collaborate with partners around the world to deliver tangible value at global scale. We continuously work to develop our people to be future ready. 

About Nestlé
We are Nestlé, the largest food and beverage company in the world, with a presence in more than 185 countries. With net sales of CHF 94.4 billion in 2022, the company has over 291,000 employees and 418 factories in 85 countries. Our values are based on respect: respect for ourselves, respect for others, respect for diversity, and respect for our future. Nestlé is dedicated to offering high-quality food and beverage products and services that contribute to the nutrition, health, and well-being of people, pets, and the planet. Additionally, it is committed to being a leading company in sustainability and achieving net zero greenhouse gas emissions by 2050.

Want to learn more? Visit us at: www.nestle.com  

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

Step outside your comfort zone; share your ideas, way of thinking and working to make a difference to the world, every single day. You own a piece of the action – make it count.

Join our IT Hub at Nestlé #beaforceforgood

How we will proceed: 
You send us your CV → We contact relevant applicants → Interviews → Feedback →   Job Offer communication to the Finalist → First working day  
 

Location

Esplugues Llobregat, B, ES, 08950

Job Overview
Job Posted:
7 months ago
Job Expires:
Job Type
Full Time

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