Data Mining Analyst - Remote

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.
 
This position has the option to be remote for candidates in the Mid-West or Eastern United States, or Europe.
 
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.

Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States.

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

Requirements

• 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, 9 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)
(http://www.dol.gov/whd/regs/compliance/posters/fmla.htm)
 
Equal Employment Opportunity Commission's (EEOC)
(http://webapps.dol.gov/elaws/firststep/poster_direct.htm)
 
Employee Polygraph Protection Act (EPPA)
(http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)
 
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All your information will be kept confidential according to EEO guidelines.