Staff Data Scientist
At Plenty, we’re on a mission to give people in local communities everywhere access to the freshest, most amazing tasting produce possible. And to do so in a way that’s better for the planet.
We are looking for a Data Scientist to support analyzing full farm processes and system behavior from the top down in order to help create the most efficient farms that the world has ever seen. In this role, using data mining and statistical techniques, you will be analyzing and visualizing data to help improve operational efficiency, minimize farm losses, increase plant yield, and to find patterns amidst chaos. These combined goals will give Plenty’s produce global reach at an accessible price, leading to increased produce consumption and raising the quality of living around the world. You will be part of a passionate and dynamic team that is developing new technology from the ground up.
Type of Role
What You'll Do
Understand data needs and construct data pipelines that addresses gaps and provide new information about farm processes and performance
Implement applications, dashboards, and statistical techniques to monitor process control tied to farm health
Define correlations between process parametrics and outcomes that help move plant yield and quality outcomes and improve overall process
Identify metrology gaps in both process parametrics and plant outcomes across farm to enable sensor hardware, firmware and data pipeline development for farm metrology
Own and drive computational modeling (i.e. machine-learning models of farm behaviour, image processing for plant phenotypes, predictive models for yield, farm operational, market sizing and demand planning models,etc.)
Own communication and report outs of all analyses
What We're Looking For
Systematic thinker who can balance multiple priorities and master new datasets quickly
Background in computational modeling, data science and analysis, ideally in farm systems, semiconductor or automotive manufacturing, plant breeding or agriculture-oriented industries
Experience in implementing analyses, algorithms, models, etc. into interactive applications for end-users
Well versed in statistical analysis, SPC, DOE, ANOVA, regressions etc. and able to draw conclusions on the relationships between variables
7-10+ years of expertise in using SQL to query messy datasets and to create data pipelines
7-10+ years of experience in R or Python (scripting languages) etc. for analyzing data
7-10+ years of experience of creating informative & interactive data visualizations
Exceptional collaborator with strong communication, adaptability, and leadership skills
Strong documenter of code, methods, and results
BS / MS or Ph.D in Computer Science, Data Science, Statistics, Math or related degree with relevant experience)
Plenty is here to change the way people eat, making extraordinary flavor and nutrition more available in a way that's better for people and the planet. We build farms that can put craveable flavor first while delivering exceptional yields. And our produce is always pesticide-free and grown using less than 1% of the land and 5% of the water of outdoor farming.