Head of Applied Data Sciences

il y a 3 semaines


LuzSaintSauveur, Occitanie, France Syngenta Seeds Temps plein
Job Description

As the Head of Applied Data Sciences, you will lead the Applied Data Genetics Sciences teams to ensure successful data management, delivery of high-quality data analytics, and build operations research capabilities to improve Seeds Dev technical, operational, and planning decision making in Corn, Sunflower, Cereals, and WOSR businesses.

The position is offered on a permanent contract, based in Europe, with the possibility of flexible location on a Syngenta site. Some level of business travel is required.

Key Accountabilities:

  • Data Science Leadership: Oversee overall data science, analytics, and Applied Genetic Sciences strategy in Europe field crop Seeds Development; ensure proper support to all functions to deliver pipeline needs focused on business value.
  • Innovation Catalyst: Drive novel strategies and inspire a shift in behaviors and mindset to realize the full value of data and analytics and achieve the objectives required to deliver the EUROPE pipeline and agronomy solutions of the future.
  • Multi-disciplinary Team Leadership: Lead a team of genomic, phenotypic, and operations research data science engineers to ensure the best use of data and technology to facilitate decision making.
  • End to End Solution Deployment: Identify and define challenges, drive ideation, build requirements, develop models, and deploy products/tools iteratively through MVP delivery in order to successfully implement data-driven solutions covering descriptive, predictive, and prescriptive analytics for corn, oilseed, and cereal crops in EUROPE.
  • Global Collaboration: Work alongside global teams to help translate regional needs into the development of analytics-driven workflows to help the organization make improved data-driven decisions at scale following global data science best practices.
  • Cross-functional Alignment: Maintain strong interaction and collaboration with global analytics & data science, IT, and portfolio teams to ensure transparency, alignment, and implementation of new enterprise technologies and analytical methodologies.

Qualifications:

  • PhD in Plant Breeding/Quantitative Genetics, Crop Science, Data Science, Computer Science, or relevant experience, with more than 10 years' experience in a global research and development environment, including 5 years leading data science and Applied Genetics Sciences operations.
  • Strong expert in Quantitative genetics and Genomic selection: solid knowledge of plant breeding and genetics principles and application, practices, methods of analysis, scenario planning.
  • Experience working successfully in international and multidisciplinary project team environments.
  • Track record of managing teams and developing talent leads individuals through complex situations.
  • Proven leadership skills and ability to work collaboratively with cross-functional teams to effectively achieve business results.

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.


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