Agronomical Data Analyst Scientist - Peyrehorade, France - Bayer

Bayer

Entreprise vérifiée

Peyrehorade, France

il y a 1 semaine

Posté par:

Sophie Dupont

beBee Recruiter

Description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Agronomical Data Analyst Scientist (D/F/M) - France or Hungary
Our EMEA Production Research Team for Row Crop is opening a position of Agronomical Data Analyst & Scientist (F/M).

The primary responsibilities of this role are to:

Independently develop algorithms in R and/or Python for data quality processes, analyze and visualize large multivariate datasets;
Design and prototype statistical models to be used for data mining and machine learning steps;
Work with mentor and other researchers and scientists to quickly gain domain knowledge and understand business processes.

Required Qualifications:

MS with 5+ years experience in Agronomy, Plant Sciences or Biostatistics + strong data analytics attitude or BS/MS in Statistical or mathematical modeling (e.g., Statistics, Mathematics, Computer Science/Engineering)
Fluent in English to interact at EMEA et Global Team level.
Proven data science experience in the life sciences field. Strong statistical skills. Extensive experience processing, analyzing and visualizing large datasets.
Fluency in using Python and/or R for data manipulation, computational statistics, and model development;
Strong communication skills and the ability to work within diverse crossfunctional teams;
Ability to transform big, complex biological or unstructired data into structured with meaningfull insights
Execute responsibilities with knowledge, integrity, commitment, and excellence.

- "Nice to have" Qualifications:_

Knowledge and experience in farming, plant breeding or physiology, agronomy or genetics;
Familiarity with multiple regression techniques, multivariate analysis, mixed models, ensemble methods, spatiotemporal models, and/or simulations;
Technical experience working with Github, Google Cloud (BigQuery)
Experience with visualizitions software Tableau or Spotfire
Theoretical knowledge and practical experience with machine learning analysis techniques; predictive analytics
PhD in related field (Agronomy, Plant Breeding, Biostatistics,...)

We are offering:

A permanent contract
An innovative, benevolent, and collaborative work environment
Numerous social advantages
Development opportunities
Move reimbursement (under conditions)

To apply, please upload your CV + LM in reply to this ad in English.

Location:

France :

Landes : Peyrehorade || France :
Tarn-et-Garonne : Monbequi || Hungary : Komarom-Esztergom : Nagyigmand || Hungary : Pest : Budapest

Division:

Crop Science

Reference Code:

786456