Corteva Agriscience

Associate Imaging Data Scientist

Job description

Description


At Corteva Agriscience, you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.

Corteva Agriscience™ has an exciting opening for an Associate Data Scientist to join the Field Sensing Data Science team. The successful candidate will join a strong, globally distributed Data Science team that is dedicated to delivering precision phenotyping solutions for our Corteva Plant Breeding business partners. The candidate will partner with senior engineers and leaders in plant breading to shape and deliver advanced machine learning solutions that have a direct impact on the plant breeding pipeline.

The candidate must have a broad knowledge in Data Science, computer vision and leadership skills to identify and deliver novel solutions that enable data-driven decisions.

Responsibilities:

  • Work hands-on along with team members to deliver the portfolio of projects aligned to plant breeding needs.
  • Identify, acquire, and engineer feature data sets with potential to address customer needs.
  • Leverage data science and data engineering resources, capabilities, and best practices from the Corteva Data Science group.
  • Apply machine learning, computer vision, image analysis methods along with other computational approaches to extract insights from large datasets.
  • Partner with senior engineers/leaders to translate proof of concepts to production level solutions.
  • Collaborate with other team members to ensure scientific rigor in projects under your purview
  • Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action.

Qualifications

  • Master’s degree in Computer Science or related technical, machine learning, math, or scientific field.
  • Proven ability to independently translate scientific needs into data science problems by asking right questions, and delivering solutions by identifying necessary data, building models, and producing actionable results
  • Broad understanding of emerging analytics/machine learning approaches and how they can be deployed to drive value in an industry setting
  • Experience with machine learning, computer vision algorithms, and frameworks like OpenCV to solve object detection, recognition, tracking, segmentation, etc.
  • Programming experience with at least one scientific programming language (e.g. Python, C++), with the desire and ability to learn additional languages as needed.
  • Hands-on experience on deep learning & machine learning libraries Tensorflow, Pytorch, Keras, sklearn etc.
  • Experience initiating, developing, and leading data science projects/efforts as a solo contributor.
  • Critical thinking, strong problem-solving skills, flexibility, and willingness to learn.

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