Data Scientist, Agriculture or Geospatial

March 19

Lithos Carbon

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We transform farmland into carbon capture centers. 🌎 🌾 🚜

Carbon capture • Agritech • Carbon removal • Crop yields

2 - 10

Description

• Meta-analysis of trends, similarities, and quirks from results across different farms and regions, including integration of 3rd-party geospatial and remote sensing data • Quantifying changes in soil chemistry across varied and heterogeneous agricultural soils • Processing and analyzing yield data from combine-mounted yield monitors • Execute throughout the full data development cycle: from initial exploratory data analysis and R&D on raw data, to collaborating with our engineering team on schema improvements and pipeline maintenance, to developing and delivering dashboards, reporting, and future production models

Requirements

• Senior level experience in data science and applied statistics within a commercial setting • Strong quantitative/statistical background. You know the ins-and-outs of statistical modeling and likely have personal opinions on frequentist and Bayesian inference • Experience across the full data development cycle, from sourcing, cleaning, and EDA of raw data through reporting, visualization, and interpretation of final results • Strong coding skills, including scientific, machine learning, and geospatial libraries (e.g. Python, numpy, geopandas, SKlearn; R, tidyverse, tidymodels, terra; Julia) and data querying/pipelines (SQL, ETL) • Excellent communication skills and are comfortable operating in a highly ambiguous environment. You’re capable of operating independently and are able to scope your work and collaborate with both internal and external stakeholders to achieve business goals without tight supervision

Benefits

• Competitive salary and meaningful equity compensation • Comprehensive health coverage including medical, dental, and vision • Access to our 401k plan • Unlimited PTO and sick days