The Climate Corporation is looking for a researcher with applied experience in statistical spatial modeling. This position is within the science R&D team that leverages numeric modeling, big data, and cloud computing to address scientific challenges in precision agriculture. This team builds predictive models that are used directly by farmers, agronomists and consultants to optimize their management programs and economic returns.
The successful candidate will focus on developing statistical models to analyze crop performance and describe treatment effects accounting for spatial variability. This individual will work closely with science teams focused on delivering new product concepts that can help growers better manage their crops to improve yield.
What You Will Do:
Build models to explore spatial variability in farmer’s fields
Deliver a statistical framework to analyze crop performance and treatment effects
Design and prototype models using diverse techniques that include, but are not limited to, machine learning, data mining, statistical modeling, and process modeling
Document and report results within and across teams
Assist with high-level analysis, design, and code reviews
Work closely with a team of world-class scientists, engineers and mathematicians to deliver impactful scientific research
MS or PhD in Applied Mathematics, Statistics, or another highly quantitative discipline.
3+ years of experience after MS with applied statistics involving spatial modeling
Strong proficiency with scientific computing in an interpreted language (such as Python or R)
Strong organizational skills
Excellent interpersonal and communication skills
Strong drive to learn new topics and skills and to develop innovative products for our customers
Applied statistical experience with agriculture crop models as a developer or advanced user
Machine learning experience
Experience working with tooling for ETL operations on large datasets
Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice
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The Climate Corporation aims to help farmers around the world protect and improve their farming operations with uniquely powerful software and hardware products. The company’s proprietary Climate FieldViewPlatform™ combines hyper-local weather monitoring, agronomic modeling, and seamless data integration to deliver Climate FieldView Prime™, Climate FieldView Plus™ and Climate FieldView Pro™, mobile SaaS solutions that help farmers improve profitability by making better informed operating decisions.
The company’s unique technologies help the global $3 trillion agriculture industry to stabilize and improve profits and, ultimately, help feed the world.
For more information, please visit http://www.climate.com or follow the company on Twitter @climatecorp.
Catered meals and a large assortment of snacks, drinks, fruits, coffees, and teas to help you get through the day; company-sponsored outings, including go-kart races, kayaking, holiday yacht parties, and sporting events, etc.; superb medical, dental, vision, life, and disability benefits; 401(k) matching program; gym membership discounts; flexible spending account (FSA); vision insurance; health savings account (HSA); health care on-site (some locations); free weekly massages (some locations); employee stock purchase plan; performance bonus; stock options; equity incentive plan; charitable gift matching; maternity/paternity leave; work from home (most teams); fertility assistance; dependent care; adoption assistance; childcare reduced or flexible hours; military leave; family medical leave; unpaid extended leave; vacation and time off; employee discounts; free lunch or snacks; commuter checks and assistance; pet friendly workplace (some locations); mobile phone discount; company car; travel concierge; legal assistance; professional support; diversity program; job training; professional development; apprenticeship program; tuition assistance.
We have the attitude of using the best tool for the job. For us that means using Clojure, Hadoop, AWS, Java, HTML5, React, Backbone.js, Rails, Scala, and our own set of tools.
1) Recruiter Phone Screen (30 minutes): We share more information about the company and the role, as well as ask questions to learn about your background, skills, and interests.
2) Technical Phone Interview (60 minutes) with a member of the hiring team, over a tool such as CoderPad (https://coderpad.io/). This is used to see how you would write and implement a simple solution in code in a reasonable amount of time.
3) Onsite Interview Loop (1/2 - 3/4 day) to assess CS Fundamentals, Domain Knowledge, and Design & Architecture and Culture Add.
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