Data Scientist

Company Description

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting.  From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold. Syngenta Crop Protection is headquartered in Switzerland.

Job Description

Role purpose

This role will apply Big-data and statistical capabilities to enable implementation and execution of Molecular breeding & Phenotyping tools and methodologies. This person will work with the breeding teams to develop data interpretations, predictive models, and their applications to drive data driven decision making. He/she will use all the latest technologies to drive rapid genetic gains in corn and rice crops in APAC

Accountabilities

• Develop solutions for various Genetics, Phenotype, computer vision, data processing, in Crop R&D set up
• Work with global Genetics/Phenome/Data Analytics and Decision/IT teams execute and deploy novel breeding and analytical solutions in APAC countries
• Work in diverse, cross-collaborative teams with Plant breeders, Trialing & Nursery operations, Trait Development, and IT

Qualifications

Qualifications

• Master's degree in Statistics or Applied Mathematics or equivalent experience
• Demonstrated expertise with tools for data analysis, statistical computation, and visualization
• More than 2 years of industry experience in Python / R. Developing pipelines and integration with large, complex datasets from structured and unstructured sources.
• Experience in data mining and machine learning algorithms.
• Experience with visualization libraries such as plotly, seaborn or ggplot2.
• Experience in working with complex data structures (in context of genotype studies such as .vcf, .hmp etc) would be great but not a must.
• Experience of having worked on Computer Vision tools and experience with image analyze will be a great additional skill
• Ability to work in a fast-paced, cross-functional, collaborative environment
• Creative, innovative, and strategic thinking; willingness to be bold and take risks on novel ideas
• Strong problem-solving and communication skills

Additional Information

Additional Information:

People are at the heart of what we do:

• Once a year Full body check
• Competitive insurance scheme
• Employee assistance program – to take care of your and your loved ones mental health
• Paid Vacation of 30days, 12 Paid Holidays, Maternity and Paternity Leave, compassionate leaves
• Education assistance – for your career growth
• People first culture translated into ‘Most Preferred place to work 2022-23 by Times group’

Note: 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, gender identity, marital or veteran status, disability, or any other legally protected status.

To learn more visit: www.syngenta.com and www.good-growth-plan

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