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Description

Corteva Agriscience seeks students for full-time internships within our global Data Science and Informatics group working on integrative data analytics for digital agriculture. We are aggressively building Big Data and Predictive Analytics capabilities to deliver improved services to our customers as well as facilitate business decision making.

Our interns will work on key problems related to applications of digital agriculture combining multiple data streams including weather, soil, imaging, drone and/or satellite to create new product insights and deliverables. The intern should be familiar with traditional machine learning and deep learning-based approaches for data analytics. This includes familiarity with Cloud/Linux development and able to perform data-preparation (wrangling, munging, pre-processing/cleaning and alignment), data-visualization, basic statistics and data modeling techniques with large datasets. The position will also require working on financial time-series data and some familiarity with related datasets is desirable.

Responsibilities - What You'll Do:

• Analyze financial time-series data and integrate with other relevant data-sets to validate a variety of statistical hypothesis.

• Design and implement novel big-data geospatial analytics to enable high-throughput data products for our digital agriculture space.

• Hands-on integration of various data and sensor components including data clean up, alignment, normalization and ETL pipeline development.

• Evolve and deploy our core machine learning/deep learning algorithms to enable highly optimized models to be delivered to our research customers and solve complex business problems.

Qualifications

Qualifications - What You'll Bring:

• Currently enrolled in a graduate education program pursuing (or planning to pursue) a Ph.D. or M.S. in Computer Science, Remote Sensing, Software Engineering, Machine Learning, Artificial Intelligence or related scientific discipline.

• Ideal candidate will have completed graduate level coursework in finance and investment theory, statistics and machine learning.

• Minimum 3.0 cumulative GPA

• Programming skills in Python and/or R, with use of scripting (Bash, etc.) to quickly create prototype and debug solutions on Cloud / Linux / embedded platforms.

• Familiarity with geospatial tools including QGIS, GeoPandas, RasterIO and/or GDAL

• Interest in learning new technologies, latest ML algorithms, programming techniques, languages, and operating systems.

• Excellent interpersonal skills and a can-do attitude with the ability to thrive in a fast-paced dynamic environment. Experience in research, life sciences, or in data science is a plus.

• 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.

• Strong verbal and written communication skills in English are required.

You'll Stand Out With:

• A deep understanding of data processing/analysis algorithms and techniques

• Experience with investment theory and facility with working with time-series datasets

Corteva Agriscience ™, the world's first dedicated agriculture start-up, serves to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. Our employees fulfill this purpose everyday by building/participating in an inclusive culture where we encourage each other to stay curious, think differently, act boldly and do what's right for our customers, our co-workers, our partners and our planet. With over 20,000 team members from 130 countries, innovating in 140 world class R&D facilities, we have the resources, leadership heritage and partner ecosystem to make a meaningful impact now and into the future.

#GrowWhatMatters

Corteva Agriscience, the agriculture division of DowDuPont, is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit: Accessibility Page for Contact Information For US Applicants: See the 'Equal Employment Opportunity is the Law' poster For our U.S. Affirmative Action Policy, click here