L'offre Data Science Engineer - Danone IS/IT a été sauvegardée.

Continuer

Offre sauvegardée

Entrez votre adresse e-mail pour enregistrer ce travail

Vous enregistrez ce travail sous:

FR
retour à la liste

Data Science Engineer - Danone IS/IT posté par Danone

CDI - temps plein
Saint-Ouen

Description de l'offre

Danone recherche Data Science Engineer - Danone IS/ITdansFrance (FR),basé SAINT-OUEN, chezFRS - DANONE SA.

Each time we eat and drink, we vote for the world we want to live in.

Danone’s mission is Bringing health through food to as many people as possible and we want to invite people to join the movement for a healthier world. We recognize the power people have to impact the world through their daily choices. Healthy food needs a healthy planet and this is what our new signature Postuler maintenant >> embodies.

Danette, Evian, Activia, Volvic, Bledina, sound familiar to you? Do you know that behind these brands there is always Information Technology pushing them forward?

At Danone, we use advanced and innovative IT solutions which are implemented in all Danone units around the world to contribute to our mission : bringing health through food to as many people as possible. Don’t wait, discover the Danone IS/IT universe and join the movement : your IT skills could be a real asset for the alimentation revolution !

>> Postuler maintenant >>

DANONE's Information Systems (DAN'IS) is looking for a Data Science Engineer.

The position is based in SAINT-OUEN (93), France. The position will integrate D2I (Data To Insight) domain which is responsible of Reporting/ programs, Advanced Analytics, Data Integration, Data Management and data strategy topics in Danone Group. D2I department, a cross domain, offers the opportunity for its members to work with all divisions, domains and entities within the group. It's an international team.

As a member of D2I team, you'll be involved in implementation of Data driven organization model. Your main mission is to participate to the transformation of our data into a true added value for Danone. 

As a Data Science Engineer,

You are able to analyze business demands around data and translate it technically by identifying the type of statistical and analytical analysis to answer it.

You're able to assess of new Big Data components to highlight these analytical functionalities in order to enrich the Danone Big Data platform.

You're able to design and develop in Java, R, Python, JavaScript, Scala to optimize analytical applications or to create new ones, using Machine Learning and statistical methodologies.

You will manage projects & programs with respect of agreed timeline & budget, ensuring proper scoping, functional definition & cooperating on other phases of delivery with peers

You will cooperate with the D2I leadership team to ensure stakeholders global satisfaction through optimal service level.

You will continuously market and promote the analytics and advanced Analytics products to raise awareness throughout business & DanIS domains of what products, solutions and capabilities are available to them and how to best use them in their respective roles/responsibilities through innovative ways of cooperation.

You are able to navigate between several analytical topics in parallel according to the priorities.

You have the ability to explain very technical processes in simple and functional words.

You ensure the transfer of knowledge about the system and processes, updating of the documentation, training of the users.

Profile

You are an engineer or graduate from a business school with a BI / Data science / Datamining specialization and applied mathematics, and you already have at least 5 years experiences in one of these fields. You have a very strong appetite for Big Data components, computation and statistical models.

-              Good knowledge of Hadoop ecosystem (HDFS, Hive, Flume, Sqoop, Kafka, SolR, Spark).

-              Good understanding of data quality, integrity, security, metadata management.

-              Extensive development experience in Java, Python, SQL.

-              Experience on Datascience and Machine platforms H2O, Knime, Jupyter, Anaconda, Rstudio.

-              Some experience on R, JavaScript, Spark, Maven, Jenkins.

-              Experience on Microstrategy and Alteryx would be an advantage.

-              Specific functional knowledge of business process

-              Ability to develop the skills to support and be involved in the implementation of Danone - group Standard applications

-              Ability to adapt to change and support changes

-              Anticipate, be proactive

-              Achieve results effectively

-              Communicate / interpersonal skills

-              Team working spirit

-              Project management skills

The job will require travel in Paris region and internationally.

English is essential.

DANONE AND ITS BRANDS

Mix 75g of Activia, 130g of a small Blédina pot, 50cl of an Evian bottle and add a drop of Fortimel ... you get 4 brands representing the 4 divisions of the Danone group: Fresh Dairy Products and Vegetables (Activia, Danette, Actimel, Alpro, etc.), Waters (Evian, Badoit, Volvic, Salvetat), Medical Nutrition (Fortimel, etc.), and Infant Nutrition (Blédina, Gallia).

All these brands are worn by 100,000 Danoners in the World. Don’t wait, vote for the world you want to live in and join the movement!

A LITTLE TASTE?

• Need Postuler maintenant >>?

• Follow our Danoners and our brands on Postuler maintenant >>, Postuler maintenant >>Postuler maintenant >>Postuler maintenant >>

• An overview of the premises: Postuler maintenant >> and Postuler maintenant >>Postuler maintenant >>

• What our trainees / alternates think about us: Postuler maintenant >>

• Learn more about our jobs on Postuler maintenant >>.


111414

Numéro de référence

514163401

Offres similaires

Paris Grupo Norconsulting SL
Neuilly-sur-Seine BEEZEN
Saint-Germain-en-Laye TRIMANE
Paris Nexton Consulting
Voir plus d'offres
similaires
Small arrow

Recevoir des offres similaires

Merci. Vous allez recevoir des offres à l'adresse email