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Deep Learning Scientist - Downers Grove, Illinois


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Job Title: Deep Learning Scientist - Downers Grove, Illinois
Location: Downers Grove, IL, Midwest United States, USA
Company: Syngenta
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed and Biotechnology
Career Type: Scientist
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: Competitive
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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 humanitys 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.


At
Syngenta, we are working to build the most collaborative and trusted team in
agriculture that provides leading seeds innovations to enhance the prosperity
of farmers. We are seeking an applied scientist with a passion for utilizing
rigorous machine learning approaches to help transform our Seeds product
development pipeline through enhanced analytics. As a Deep Learning (DL) Scientist you will
work collaboratively on complex problems using machine learning to provide autonomous solutions, improve
decision making and simplify our processes.


Accountabilities:
  • Play
    a major role in defining, designing, experimenting and evaluating
    product-focused AI solutions utilizing machine learning methods, deep learning,
    computer vision and natural language processing
  • Model
    complex problems, discover insights, and identify opportunities via the use of
    statistical, algorithmic, and visualization techniques
  • Learn
    and understand the Seeds Development pipeline and operations, associated data
    and key decisions in order to recognize opportunities for enhancing our
    development pipeline
  • Create
    prototypes to address needs and enhance fundamental decision-making
  • Evaluate
    algorithm performancevalidate findings using a trial and iterative approach
    and effectively communicate findings
  • Identify
    data needs; efficiently process, clean and verify the integrity of data used
    for analyses
  • Research
    and apply the latest Artificial Intelligence methodologies to address Seeds
    Development challenges
  • Network
    and collaboratively work with seeds development, analytics and data science
    experts, IT and product managers to build and incorporate AI-based capabilities
    into solutions and offerings that are deployed globally
  • Work
    with Seeds Research and Development stakeholders in communicating analytical
    results to develop enhancement opportunities, share key learnings and
    contribute to technical training offerings to support implementation of
    innovative approaches



Skills:

Requirements:
  • 3+
    years of experience: deep learning, machine learning, programming, data
    modeling and evaluation, probability and answering questions in
    high-dimensional datasets
  • 3+ years of practical experience
    applying deep learning and machine learning to solve real-world problems or
    relevant quantitative and qualitative research and analytics experience
  • Ph.D.
    or Masters with equivalent experience in Computer Science, Machine Learning,
    AI, Mathematics, Engineering or related quantitative field
  • 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
    effectively collaborating across science disciplines, IT and Engineering to
    deliver scalable solutions
  • Individual must be authorized to work
    in the United States for Syngenta without work authorization sponsorship now or
    in the future
  • Visa sponsorship is not available for
    this position
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



To apply please click on APPLY TO THIS POSITION

Job Post Date: 10/25/19
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