Genomics Data Scientist (Remote)

Company Description

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.

Job Description

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.

Syngenta Digital is changing the agriculture industry and we want you to be part of that.
 
The Syngenta Analytics and Data Sciences team is seeking a Genomics Data Scientist who will play 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. As a Genomics Data Scientist, you will be part of a dynamic team that supports Research and Development objectives to transform our business.  As a Data Scientist, you will:

• Identify viable data science opportunities and test, develop, validate, and implement end-to end analytical solutions

You will help meet the world’s most pressing needs by:

• Utilizing rigorous data science approaches to help transform our Seeds product development pipeline to deliver maximum value to our growers and sustainability to agriculture
• Working collaboratively on complex problems using data science to provide autonomous solutions, improve decision making and simplify our processes to deliver value to our growers 
• Modeling complex problems, discover and deliver insights leading to new intelligence and identify opportunities via the use of statistical, algorithmic, and visualization techniques

Qualifications

Accountabilities

• Create prototypes to address needs and enhance fundamental decision-making
• Learn and understand the Seeds Development pipeline and operations, associated data and key decisions in order to recognize opportunities for enabling and enhancing our decision making
• Research and apply the latest machine learning and deep learning methodologies to address Seeds Development challenges
• Evaluate algorithm performance—validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences
• Identify data needs and provide recommendations; efficiently process, clean, and verify the integrity of data used for analyses

Qualifications - Requirements

• Ph.D. with equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Engineering, or related quantitative field
• 2+ years of experience: Deep Learning, Machine Learning, programming, data modeling and evaluation, probability and answering questions in high-dimensional datasets
• 2+ years of practical experience applying Deep Learning and Machine Learning to solve real-world problems or relevant quantitative and qualitative research and analytics experience
• Expertise in data wrangling, mining, and modeling
• Experience with SQL and AWS

Preferred Requirements

• 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
• Experience with Kubernetes and Docker and the Agile Methodology
• Experience with visualization and rapid prototyping tools (e.g. R Shiny, Spotfire, Power BI)
• Proven interpersonal and excellent communication skills in order to communicate with stakeholders and collaborate with R&D colleagues

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)
 
#LI- DO1

#LI-Remote

Additional Information

All your information will be kept confidential according to EEO guidelines.