Job Title:Senior Data Scientist (Position may be located near any Syngenta North America location) Location:Durham, NC, South United States, USA Company:Syngenta Industry Sector:Agribusiness Industry Type:Plant & Soil Sciences, Seed and Biotechnology Career Type:Accounting/Finance/Asset Management Job Type:Full Time Minimum Years Experience Required:N/A Salary:Competitive
About SyngentaSyngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanitys most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.
Syngenta Digital is changing the agriculture industry and we want you to be part of that. Digital innovations, data and new technologies will transform the way that crops are managed in the future and enable farmers and agronomists to enhance efficiency and sustainable food production. You will help to develop solutions that turns data into meaningful information and ultimately helps to grow more food with fewer resources.
You will help transform digital agriculture by:
Provides thought Leadership in the Data Science/Machine Learning domains through the dissemination of ideas and results throughout the Syngenta organizations by turning agronomic data into products.
The output will primarily support furthering the understanding and translation of the GxExM (Genome x Environment x Management) framework through advanced scientific and analytical techniques.
Drives the establishment of a data science research protocol for the CADS team, including the assembly of a testing and evaluation computational environment, an internal method/code review process, and a technology transfer schema for turning data into usable products.
Converts data derived from disparate systems and platforms into scalable products and services which positively impact Syngentas financial performance, and further strengthens the relationship between Syngenta and our customers.
Protects the integrity and FTO of Syngenta by ensuring, in close cooperation with Legal & Taxes and other expert functions, Syngentas full compliance with the applicable legal and regulatory framework as well as Syngentas own legal and ethical, HSE, Corporate security, Risk Management and Corporate Governance standards.
Provides direction and guidance to each of the two/three data scientist domain areas defined in the Climate and Agronomic Decision Sciences (CADS) organization (seeds, crop protection, and sustainability).
Conducts in depth literature reviews on related technologies that the CADS team will be responsible for developing.
Communicates results ranging from authoring technical white papers to high level business recommendations for decision makers.
Continuously improves the capabilities of the junior data scientists on the CADS team through mentoring and development.
10-15 years in developing algorithms in an applied research commercial setting.
PhD preferred MS required in a quantitative/computational science.
Experience in an applied research function within a commercial agriculture setting.
Ability to steer research process from conceptualization through product deliverable.
Solid experience in implementing state of the art machine learning/deep learning techniques in a fast paced environment.
Experience developing novel techniques involved surrounding the data acquisition/ETL process, pattern recognition, statistical analysis and applied research scalability.
Familiarity with working one or more of the following: weather, climate, soils, satellite or genomics datasets.
Experience in technical and social issues related to data ethics and data privacy
Competency in writing production ready code using the common suite of Data/Decision Science programming languages and tools Python, R, Scala, etc.
Comfortable handling large and disparate data sets data fusion experience preferred.
In addition to computer science, domain expertise in an area of the physical or quantitative sciences preferred but not required.
Experience with Computer Vision and Geospatial technologies preferred.
Ability to work well both independently and in group settings.
Ability to influence indirect relationships throughout the global business.
Successful stakeholder engagement across all management levels in the organization.
Able to lead in complex matrix organization across different countries, businesses and cultures.
Minimum 5-7 years managing teams junior to mid-level data scientists.
Proven ability to demonstrate consistent leadership enterprise.
What We Offer
Full Benefit Package Medical, Dental & Vision that starts the same day you do.
401k plan with company match, Profit Sharing & Retirement Savings Contribution.
Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others.
A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year.
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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