Data Mining Analyst

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 creative, adaptable, detail-oriented Data Mining Analyst for the Seeds Research and Development team. Successful candidates will possess exceptional critical thinking skills, technical and business acumen, and strong problem-solving skills. The candidate will demonstrate accountability, continuous development, collaboration, and interdisciplinary skills that includes statistics, machine learning, data analytics, and storytelling. As a Data Mining Analyst, you will be part of a dynamic, collaborative team that supports Research and Development objectives to transform our business.

You will help transform digital agriculture by:

Playing a major role in delivering business insights, utilizing data mining, machine learning methods, computer vision, natural language processing, and data visualization techniques.

Accountabilities

Identify viable data science opportunities and testing, developing, validating, and implementing 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 Discover and deliver insights leading to new intelligence and identify opportunities via the use of statistical, algorithmic, and visualization techniques Clean, munge, and explore diverse environmental, geospatial and product performance datasets Validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences

PhD or Master’s degree with equivalent experience in Computer Science, Data Science, Machine Learning, Mathematics, Engineering, or related quantitative field 2+ years’ of experience: Data mining and analytics, Machine Learning, programming, data modelling, and evaluation, probability, and answering questions in high-dimensional datasets 2+ years’ of practical experience applying spatial analyses and Machine Learning to solve real-world problems involving environmental, geospatial, remote sensing, and product performance datasets Expertise in data wrangling, mining, and modelling Spatial data manipulation, expertise in GIS and remote sensing data collection

Preferred Requirements

Experience with SQL and AWS 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 libraries such as TensorFlow, Keras, MXNet, PyTorch or Scikit-Learn Experience with Kubernetes and Docker and the Agile Methodology Experience with visualization and rapid prototyping tools e.g. R Shiny, Spotfire, Power BI

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.

Family and Medical Leave Act FMLA

Equal Employment Opportunity Commission's EEOC

Employee Polygraph Protection Act EPPA

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