Agronomic Data Scientist
Location: US, CA, San Carlos
Employment type: Full-time
Required experience: Mid-Senior level
Required education: Master's Degree
Industry: Computer Software
Function: Science
Company profile: Working at FBNAt FBN, we put farmers first. For every decision we make, we consider its impact on farmers big and small. Only after this has been considered will we consider the impact of our decisions on FBN, followed by our fellow team members, and finally ourselves. Before making a decision, we listen to farmers and learn about how implementing it will impact them.While making a decision or working on a project, we prefer working in small teams to make sure our employees feel empowered and own their decisions. Finally, after our decisions are made, we communicate those decisions to our farmers and to the rest of the team.FBN employees are a diverse group with a common passion for agriculture. We respect humility, value honesty, and despise entitlement. We see farmers as hackers and entrepreneurs, able to fix things with duct tape and baling wire while predicting the weather and analysing their financial position on the commodities market. Just like farmers, we believe that if something is broken, it’s better to fix it than to complain about it.All FBN employees, regardless of the position, will spend meaningful time visiting farms, to meet with some of our founding and network farmers in order to discuss their equipment and data collection practices.As a Silicon Valley based company with a Midwestern culture, we believe in the power of getting things done, and understand that creativity is fostered by trust and the ability to focus. As a result, meetings are avoided and we respect everyone’s right to at least one day a week without meetings. Thursdays are considered “no meeting days.”Finally, there are no shrinking violets here. The team consists of many people with deep experience in agriculture, technology, data science, machine learning, physics among other areas. So be prepared to offer opinions!Interviewing at FBNOur interview panels are as diverse as our employees. You may be expected to interview with an agronomist, a physicist, a data scientist, and because of our strong focus on farmers, we expect every FBN candidate to interview with one of our founding farmers, advisory board members or network members. As a result, our interviews will take you out of your comfort zone. Be prepared to be asked to solve hard problems that may seem daunting, to be asked questions that will test your curiosity, and to meet really awesome people.If FBN sounds like a place where you would like to work and if you're excited about making a difference in the lives of thousands of farmers, take a look at our current openings.
Description: FBN's primary mission is to provide farmers with an unbiased and independent platform for agricultural analytics, using proprietary models based on ground truth data, satellite imagery, weather models, and the combined experience of our network of farmers. We aim to be a place where farmers can get credible insights on what practices, seeds, and equipment would work best on their farm.We're looking for a mission driven agronomic data scientist with a strong agricultural background to help us extract exciting insights from our vast dataset!
Requirements: ResponsibilitiesOnce you join our team, you will be expected to:Use your understanding of agriculture to guide the analysis of the world's largest agronomic database.Develop predictive analytical models that help solve real-world problems facing farmers.Collaborate with the Product Team to transform your analytics into useful tools for FBN members.Required SkillsYou have years of experience with some of these technologies and systemsDeep understanding of agricultural systems (soil chemistry, plant physiology, entomology, etc.).Deep understanding of statistical modeling concepts.Familiarity with machine learning algorithms.Excellent programming skills (R or Python preferred).Excellent data visualization skills.Experience working with large datasets and big data technologies.Creativity; the ability to develop novel solutions to complex analytic challenges.Demonstrated passion for learning new skills and keeping up with current research.A love for agriculture and the mission of helping farmers.Impeccable verbal and written communication skills.Required Experience:MS or greater in statistics or related discipline with strong demonstrated interest in agriculture; OR MS or greater in agronomy, entomology, plant science, soil science, or related discipline with strong quantitative skills and experience with data analysis.
Benefits: Health InsuranceStock optionsFarm visits!
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