Data scientist

We are looking for a Data Scientist to support analyzing indoor aquaculture and system behavior in order to help create the most efficient farms that the world has ever seen. In this role, using data mining, statistical techniques, and machine learning, you will be analyzing and visualizing data to help improve operational efficiency, minimize losses, increase yield. These combined goals will give Company’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

What You'll Do

-Understand data needs and construct data pipelines that address gaps and provide new information about facility processes and performance
-Implement applications, dashboards, and statistical techniques to monitor process control tied to farm performance
-Define correlations between process inputs & outcomes to help improve yield rate, quality, and overall process
-Identify gaps in data to enable development of sensors, hardware, firmware and data pipelines
-Own and drive computational modeling
-Systematic thinker who can balance multiple priorities and master new datasets quickly
-Background in computational modeling and data science
-Well versed in statistical analysis (SPC, DOE, ANOVA, regressions etc) and able to draw conclusions on the relationships between variables
-years of using dbt or other ETL methods to provide end-users with clean, transformed data
-years of expertise in using SQL to query messy datasets and to create data pipelines
-years of experience in R or Python (scripting languages) etc. to analyze data
-years of experience of creating informative & interactive data visualizations
-Experience integrating algorithms and data analyses with applications for end-users
-Strong documenter of maintainable code (version control, CI/CD, etc.), methods, and results
BS / MS or Ph.D in Computer Science, Data Science, Statistics, Math or related degree with relevant experience)