The Rapid Response team works to build urgent requests for our internal and external users: building and productionizing models with resourcefulness and creativity.

What You’ll Do

• Develop original computational models to predict agricultural and environmental performance and conditions using geospatial, weather, crop, trade, and pricing data.
• Develop systems and techniques for very large scale computations.
• Work with scientists, analysts and engineers to integrate local and sector specific factors and work closely with specialists to further internal product development and external collaborations.
• Do original research using a wide range of statistical tools, machine learning models and algorithms.
• Develop simple visualization tools to deliver model results or solutions in a user friendly way.

What We’re Looking For

• Either
• 3+ years experience in Data Science with a Bachelor’s degree in Engineering, Computer Science, Math, Statistics or Data Science OR;
• 1+ year experience in Data Science with a Master’s degree in Engineering, Computer Science, Math, Statistics or Data Science
• Strong understanding of computer science fundamentals (data structures and algorithms) as well as statistics and mathematics.
• Fluency in Python.
• Ability to work collaboratively with team members across functional roles and strong communication skills.
• Ability to deliver high quality results given time constraints, prioritize across multiple tasks.

Nice to Have

• Fluency in R or C++ or Java.
• Experience with Docker, Airflow, Git.
• Experience with sophisticated deep-learning methods.
• Experience with “big data” computation (parallel processing, distributed storage) is a plus.

Who You Are

• Driven, with excellent problem solving skills.
• Curious, love for turning ideas into reality.
• Productive, self motivated and disciplined.
• Creative, collaborative, diligent, persevering.
• Thrive in time pressured environments.
• Strong attention to detail with the ability to understand the big picture.
• Passionate about solving high impact problems with data driven tools.
• Learner, interested in new skills and adapting to new technologies.
• Ability to work with geographically distributed and culturally diverse team.

Compensation 

The salary range for this role is expected to be $120,000 - $170,000. Other compensation for the role includes equity, a generous PTO policy and health, vision & dental insurance.