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Agronomy Data Scientist


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Job Title: Agronomy Data Scientist
Location: Slater, IA, Mid-West United States, USA
Company: Syngenta
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed and Biotechnology
Career Type: Accounting/Finance/Asset Management
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: Competitive
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Apply to this position

What You Will
Do as the Agronomy Data Scientist: Manager


  • Organize and analyze data to develop agronomic insights, models,
    and information that deliver improvements in product placement, customer experience,
    and agronomy impact in support of the commercial seeds organization
  • Develop trial protocols, summarize data and
    create agronomy content that supports seeds agronomy brand and customer
    experience
  • Design strategies and propose algorithms to
    analyze and leverage data from a variety of sources
  • Set direction to Agronomic Research Scientist on
    agronomic field data record structure needed for building and maintaining a
    sustainable database
  • Network with seed development, selection, sales
    and digital stakeholders to develop a pipeline of agronomy data science
    projects aligned with commercial strategy
  • Work in a cross-disciplinary project team of
    database specialists, digital product developers, agronomists , product selection
    leads and seeds research & development scientists to complete project
    deliverables on-time and within budget
  • Enable
    North America seeds success by using data to refine and improve product
    placement



  • Skills:

    You
    Have:


    • Masters degree
      from an accredited college/university in Quantitative Agronomy, Statistics, Data
      Science or related fields, plus at least two years of work experience in a
      commercial setting using agronomy data science skills
    • Or a PhD from
      accredited college/university in related fields, no work experience required
    • Proficiency in Python e.g. pandas, scikit-learn,
      bokeh, nltk, R e.g. ggplot2, cluster, dplyr, caret, or other statistical and
      programming languages
    • Understanding of GIS tools and database
      management
    • Understanding of agronomic experimental design, hypothesis
      testing, analysis of variance, regression, correlation and graphical
      representation of data
    • In-depth knowledge of various modeling algorithms
      e.g. regression, trees based models, neural networks, ensembles, clustering,
      time series, reinforced learning, probabilistic programming
    • Deep understanding of commercial agriculture
    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
    Who We
    Are:


    Syngenta is a leading agriculture company dedicated to feeding the world
    and improving global food security by enabling millions of farmers to make
    better use of available resources. We are committed to rescuing land from
    degradation, enhancing biodiversity and revitalizing rural communities. We have
    28,000 people in over 90 countries working to transform how crops are grown.


    If you need
    assistance during the application process, recruitment.na@syngenta.com.





    Equal Employment Opportunity Commission's EEOC poster Link




    . 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.

    To apply please click on APPLY TO THIS POSITION

    Job Post Date: 07/06/19
    Apply to this position
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