Career Center

About Syngenta

Syngenta 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 humanity’s 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.

About Us

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.

The Syngenta Analytics and Data Sciences team is seeking a Machine Learning Specialist with a passion for utilizing exceptional critical thinking skills, has detailed technical and business acumen, and strong problem-solving skills. As a Machine Learning Specialist, you will demonstrate accountability, continuous development, collaboration, interdisciplinary skills, including statistics, machine learning, data analytics and storytelling capabilities. You will be a member of a dynamic team that supports Syngenta Seeds Research and Development objectives that will help to transform our business.

You will help transform digital agriculture by:

• Playing a major role in defining, designing, experimenting, and evaluating product-focused solutions and delivering business insights, utilizing data mining, machine learning methods, deep learning, computer vision and natural language processing.

Accountabilities

• Identify viable data science opportunities and test, develop, validate, and implement end-to end analytical solutions
• Utilize rigorous data science approaches to help transform our Seeds product development pipeline to deliver maximum value to our growers and sustainability to agriculture
• Work collaboratively on complex problems using data science to provide autonomous solutions, improve decision making, and simplify our processes to deliver value to our growers 
• Create prototypes to address needs and enhance fundamental decision-making and research and apply the latest Machine Learning methodologies to address Seeds Development challenges
• Identify data needs and provide recommendations; efficiently process, clean, and verify the integrity of data used for analyses

Locations include: Downers Grove or Malta, Illinois; Slater, Iowa; Raleigh-Durham, North Carolina

Requirements

• Ph.D. or Master’s degree with equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Engineering or related quantitative field
• 2+ years of experience: Machine Learning, programming, data modelling and evaluation, probability and answering questions in high-dimensional datasets
• Experience using a programming language (Python, C/C++, Matlab) for Machine Learning or a statistical computer language (R, Python, SQL) to manipulate data and draw insights from large data sets
• Experience in Machine Learning and Deep Learning libraries such as TensorFlow, Keras, MXNet, PyTorch or Scikit-Learn
• Expertise in data wrangling, mining, and modelling

Preferred Requirements

• Experience with SQL and AWS
• Experience with Kubernetes and Docker
• Experience with visualization and rapid prototyping tools (e.g. R Shiny, Spotfire, Power BI)
• Experience with Kubernetes and Docker as well as Agile Methodology
• Demonstrated experience applying machine learning to solve real-world problems or relevant quantitative and qualitative research and analytics experience

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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