Data Scientist

Syngenta Crop Protection • Full-time • Greensboro, North Carolina, United States • $79.69k - $118.17k / year • 3m ago

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

As a Data Scientist at Syngenta, you will be at the forefront of agricultural innovation, leveraging advanced analytics to transform our Crop Protection R&D processes.

In this role, you will directly contribute to developing more effective and sustainable crop protection solutions, supporting global food security and agricultural sustainability. We're seeking a passionate, innovative thinker who can bridge the gap between data science and agricultural research to drive meaningful impact in the industry.

Duties:

Data Integration and Advanced Analytics: Lead efforts to integrate diverse agricultural datasets and apply advanced analytics, including machine learning and statistical modeling, to uncover insights that drive R&D decision-making.
Cross-functional Collaboration and Solution Development: Partner with various teams (e.g., Product Biology, Field Development, Marketing) to develop and deploy data-driven solutions that address complex agricultural challenges and support R&D initiatives.
Process Automation and Efficiency: Develop automated solutions for data processing, analysis, and visualization, working closely with the broader R&D community to streamline workflows and enhance productivity.
Digital Transformation and Innovation: Spearhead the adoption of emerging technologies and innovative data approaches in CP R&D, continuously improving our research capabilities and methodologies.
Knowledge Sharing and Capability Building: Support the adoption of new data analytics tools and techniques across the organization through training, documentation, and collaborative problem-solving.

Qualifications

Advanced degree (M.Sc. or Ph.D.) in Statistics, Data Science, Computer Science, Applied Mathematics, Ag Engineering or related disciplines with at least 3 years’ experience. Work level will be adjusted based on education and experience.
Excellent background in data analytics, with experience applying it to biology, agronomy, or crop protection.
Advanced proficiency in Python or R, ideally with experience developing software packages.
Experience with business intelligence (BI) tools such as Power BI, Tableau, Spotfire, or Qlik Sense.
Familiarity with version control tools like Git and experience with SQL or similar database query languages.
Deep understanding of big data technologies, machine learning, and deep learning algorithms, along with expertise in relevant Python libraries.
Experience with spatial modeling, GIS analysis, or remote sensing for agricultural applications.
Agile, results-oriented mindset with a strong focus on stakeholder engagement and user adoption.

Additional Information

What We Offer:

A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
Full Benefit Package (Medical, Dental & Vision) that starts your first day.
401k plan with company match, Profit Sharing & Retirement Savings Contribution.
Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal.
Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

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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