Deep Learning Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Syngenta Analytics and Data Sciences team is seeking a Deep Learning Scientist with a passion for defining, designing, experimenting, and evaluating product-focused solutions and for delivering business insights by utilizing data mining, machine learning and deep learning methods, computer vision, and natural language processing. As a Deep Learning Scientist, you will be part of a dynamic team that supports Research and Development objectives to transform our business. In this role you will help transform digital agriculture 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.

Accountabilities

• Identify viable data science opportunities and test, develop, validate, and implement end-to end analytical solutions
• Create prototypes to address needs and enhance fundamental 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

Requirements

• PhD or Master’s degree with equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Engineering or related quantitative field
• 2+ years of demonstrated experience in Deep Learning, Machine Learning, programming, data modelling 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 modelling
• Experience effectively collaborating across science disciplines, Information Technology and Engineering to deliver scalable, end-to-end solution

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 and Deep Learning libraries such as TensorFlow, Keras, MXNet, PyTorch, or Scikit-Learn
• Experience with visualization and rapid prototyping tools (R Shiny, Spotfire, Power BI)
• Experience with Kubernetes and Docker and the Agile Methodology

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