Remote Sensing Data Scientist (PhD)


Job Description

Corteva Agriscience , Agriculture Division of DowDuPont is
seeking a Remote Sensing Data Scientist to join our global Data Science and
Informatics group working on predictive analytics for digital agriculture. If
you are interested in analyzing one of the largest collections of farm data; optimizing
management practices for one of the largest farming operations; or developing analytical
solutions that will enable next generation of genetics/crop-protection/farm-management-practices
for millions of farm-acres across the globe, our opening for Remote Sensing
Data Scientist is your opportunity.

At Corteva Agriscience , you ll become part
of an interdisciplinary, global work environment in which you will operate as a science leader who will encourage
and promote disruptive advances by applying state-of-the-art methods in remote
sensing, data science and artificial intelligence to mine critical problems
spanning multiple segments of the organization. Your strong and extensive
background in remote sensing fundamentals, machine/deep learning, statistics
and optimization will enable you to gain insights from a wide array of structured
and unstructured datasets consisting of global-scale spatio-temporal sources (farm-equipment,
UAV, satellite, weather, soils etc.), proximal sensors and IoT streams. This is a critical position with strategic impact on our
business and you will play a major role by driving innovation in agriculture

Working closely with data
scientists, data engineers, researchers and business collaborators across the
organization, you will develop and deploy sophisticated end-to-end solutions on
a wide range of problems in digital agriculture. This will require excellent
interpersonal communication skills and an aptitude for building networks,
within and outside the company.

Job Qualifications

  • PhD or similar qualification in a quantitative
    data science discipline
  • 3+ years of work experience post-PhD
  • Strong
    understanding of remote sensing fundamentals, geophysics, computational
    learning theory, statistical methods & optimization.
  • Experience
    in the evaluating and optimizing machine-learning algorithms and/or
    process-based models, towards understating crop-physiology, crop-productivity &
    environment-characteristics at scale.
  • Experience
    in dealing with large scale spatio-temporal data (satellites, weather,
    sensor-networks etc.), preferably on a cloud or high-performance computing

  • Expert programming
    skills in Python, R and C/C++ with the ability to quickly create prototype
    solutions on Unix / Linux / Cloud platforms using open source tooling and
    libraries as necessary.

  • Experience
    with deploying prototype solutions on Google Earth Engine will be preferred.

  • Excellent
    interpersonal, verbal and communication skills and a can-do attitude with the
    ability to thrive in a fast-paced dynamic environment.

  • Excellent
    analytical and problem-solving skills with the ability to work as part of a
    global team and, at times, independently while appropriately prioritizing tasks. We
    are excited to announce that Corteva Agriscience is the name of the
    new Agriculture Division of DowDuPont. We are bringing together DuPont
    Crop Protection, DuPont Pioneer and DowAgroSciences to create a
    market-shaping, standalone agriculture company with leading positions in seed
    technologies, crop protection and digital agriculture. We will work across the
    global agriculture value chain to create a more efficient food system.

At Corteva Agriscience , we seek to
enrich the lives of those who produce and those who consume. This means we will
help rejuvenate the agricultural ecosystem to support people and the planet and
to ensure progress for generations to come.

About DowDuPont

DowDuPont (NYSE: DWDP) is a holding company comprised of The Dow Chemical Company and DuPont with the
intent to form strong, independent, publicly traded companies in agriculture, materials science and specialty
products sectors that will lead their respective industries through productive, science-based innovation to meet the
needs of customers and help solve global challenges. For more information, please visit us at www. dow-dupont. com.

The positions represented by this job posting are aligned to one of the three divisions, Agriculture, Materials
Science or Specialty Products, which are expected to separate from DowDuPont into stand-alone public companies.
Information on the division alignment will be provided during the recruitment process.

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