Project Scope:

Digital Disease and Insect Management in Visor Solutions and Granular Insights which drive value in our Crop Protection products (herbicides, fungicides, insecticides, etc)

Responsibilities:

Candidate will be involved in many digital disease and insect management projects within our farming solutions and digital department. The role will consist of data collection, data scrubbing, building models using machine learning approaches to solve complex agronomic problems. These agronomic projects will focus on combining agronomic data, weather data, soil data and imagery to explain biological questions related to abiotic and biotic stresses on plants. These digital projects will focus in supporting our crop protection products to provide better efficacy and timing to improve return of investment to our customers.

Required Skills

• Solid foundation in probability and statistical inference
• Extensive experience analyzing designed experiments and observational datasets (e.g. linear fixed effects and mixed effects models, regression analysis)
• General Data Engineering knowledge
• Python (GIS in Python)
• Experience with variable selection, dimensionality reduction, model diagnostics, remedial measures and validation.
• Experience consuming APIs (experience building APIs would be a plus)
• Written and verbal communication skills and the ability to successfully collaborate and lead projects with colleagues from diverse technical background
• Critical thinking, problem-solving skills, flexibility, willingness to learn

Preferred Skills

• Experience with generalized linear models and non-linear models
• Experience with ML package; XG Boost
• Experience consulting on scientific projects or working within a scientific team
• Experience with machine learning/AI/deep learning (both tabular and neuro networks)

Preferred:

M.S. graduate in data science with biology concentration or agronomy; graduates with statistics and computer science degrees will also be considered. Candidate should have strong skillsets in statistics, mathematics, data science, biology and python programming.


Preferred Experience:

Involves data science or biology publications, some industry or intern/co-op experience or having work projects/capstones involving data science and ML to solve complex biological problems

Required Skills: Solid foundation in probability and statistical inference Extensive experience analyzing designed experiments and observational datasets (e.g. linear fixed effects and mixed effects models, regression analysis) General Data Engineering knowledge Python (GIS in Python) Machine Learning experience
Basic Qualification:
Additional Skills: Digital Ag – newest portion of Corteva and will be using a lot of cutting edge of technologies and the digital space is evolving on the data science side
Background Check: Yes
Drug Screen: Yes
Notes:
Selling points for candidate: Digital Ag – newest portion of Corteva and will be using a lot of cutting edge of technologies and the digital space is evolving on the data science side
Project Verification Info:
Candidate must be your W2 Employee: No
Exclusive to Apex: No
Face to face interview required: No
Candidate must be local: Yes
Candidate must be authorized to work without sponsorship: No
Interview times set: Yes
Type of project: Other Project Type
Master Job Title: Data Scientist
Branch Code: Des Moines