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Lead Data Scientist M/F

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Date: Jul 13, 2019

Location: Paris, FR

Company: DANONE

FRS - DANONE SA is looking for a Lead Data Scientist M/F in Paris.


 

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 One Planet One Health embodies.

 

THE ROLE

 

As a Lead Data Scientist, your role is to manage and coordinate the data science cohort through mentoring and hands-on efforts, while providing input on the overall direction of the Data science in Danone. In addition, you will be in charge of building the data science cohort and shaping the rapidly growing advanced analytics team. We offer you an exceptional opportunity for personal development, in which you, together with the Data science leadership team, will navigate through the business' most complex problems using advanced analytics as your tool for improvements. The position as a Lead Data Scientist is a challenge with plenty of responsibilities, in which you will work in a fast-paced environment.

To succeed in this position we believe that you have a pragmatic workstyle and drive towards solution with focus on delivering results.

 

WHAT YOU WILL DO...

 

  • You will lead the data science cohort through hiring, coaching, mentoring, career development and, hands-on data science
  • You will provide technical mentorship in machine learning and AI, and lead the data scientists in how to best design and build advanced analytics models. In addition, you will draw and build upon best practices throughout the organization
  • You are responsible for listening to business needs and making strategic recommendations around data solutions.
  • Your role will include keeping your finger on the pulse of emerging technologies, and assess their relevance to our company.

 

WHO YOU ARE

 

You have 6+ years of experience in a data science environments within a data science organization, with responsibility and leadership over comprehensive tasks and teams.
Have a MSc, PhD or other Advanced Degree in a field linked to computer science, applied mathematics, statistics, machine learning, or related data centric areas.
Experience in giving hands-on leadership, whether formally or informally (e.g., mentoring), to individuals developing predictive and/or optimizing algorithms and models.
You are experienced in using statistical, algorithmic and visualization techniques to address complex business problems, with strong records of personal accomplishments.
You understand and are familiar with the details of the full advanced analytics value chain, from proof-of-concept to industrialized and scalable models.

 

WHAT'S NEXT?


Hit the “apply now” button. You have until the closing date to apply. Part of the interview process will be a telephone interview and first and second round interview. To comply with GDPR regulations, we cannot process your personal data without given consent. Therefore, we ask you kindly to apply directly via our careers website.

 

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. Do not wait, vote for the world in which you want to live and join the movement!

 

A LITTLE TASTE?

 

• Need advice on applying?

• Follow our Danoners and our brands on Instagram, FacebookLinkedinTwitter

• An overview of the premises: our head office in Paris and the new headquarters of Blédina in Limonest

• What our trainees / alternates think about us: Happy Trainees # 4

• Learn more about our jobs on Jobteaser.


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