Data Scientist, Carbon Quantification

Location: Massachusetts

*** Mention DataYoshi when applying ***

We're an international AgTech startup pioneering an ambitious mission in a high-growth industry where agriculture meets technology to solve our toughest climate and economic challenges. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced partner ecosystem that beneficially serves farmers, consumers, and the planet alike.

Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer.

The Carbon Quantification team combines statistics, science, and modeling to explore the frontiers of carbon sequestration and quantification technologies. We are looking for a Data Scientist who is excited by the challenge of building data pipelines and augmenting our computational analytics to inform the future of Indigo's Carbon program.

What Will You Do(?):

  • Become an expert in the data and data transformations that drive Indigo Carbon's crediting pipeline
  • Familiarize self with stakeholders and key points of contact for collecting, managing and QC'ing soils and management data from farmers
  • Analyze and interpret data from field and modeled experiments to inform improvement and optimization of Indigo Carbon's crediting system
  • Forecast credit opportunities with external and internal model outputs combined with predictive variables like weather, agricultural practice, and soil
  • Develop requirements and work with Engineering to build automated data pipelines and tooling for farmer facing products
  • Analyze the impacts of various data imputation techniques on Carbon program outcomes to drive prioritization and decisions
  • Work with product, agronomic, and research teams to support farmer recommendations to optimize credit generation
  • Prototype data connections between modeling and soil observation database, including experiments and literature
  • Understand and embody our mission & core values
    • Excited by Indigo's mission; believes that Indigo can fundamentally change the agriculture industry; can clearly articulate passion for our mission and values
    • Optimistic and innovative; solution-oriented; shows no signs of cynicism
    • Will be widely viewed as someone who personifies our core values, is committed to them, and leans on them when making decisions. Specifically:
      • Demonstrates a track record of high integrity – doing the right thing, owning mistakes, conducting oneself honestly
      • Values, communicates and interacts with others with high levels of transparency and respect
      • Collaborates well across functions; creates an inspiring and collegial work environment


  • Collaborate on data exploration and reporting with teammates using version control system, working in SQP and/or Python
  • Understand and manipulate data to create useful visualizations with actionable insights for internal and external consumption. Make creative and aesthetically appealing visuals that tell a story to enable clear and impactful action
  • Collaborate well cross-functionally in a professional and effective manner
  • Balance and prioritize competing demands to create the highest overall value
  • Able to embrace new paradigms for analyzing agronomic data
  • Able to maintain a clear vision of the farmer's needs and where their success is critical while demonstrating farmer empathy
  • Demonstrated ability to assemble data from multiple and complex data sources (specifically, agronomic field data from a multi-region or large geographical areas spanning many environments) into summaries capable of driving decision to meet business or scientific objectives
  • Able to work with farm-scale trial design, data management, and spatial data analysis
  • Thrives with ambiguity; capable of creating clarity through organization and prioritization
  • Excels at communicating data analysis at the interface of business and agronomy/data science via documentation (e.g. wiki, PowerPoint)
  • Highly organized and collaborative; able to influence without authority
  • Understands the agronomic and financial outcomes that drive farmer profitability; capable of using that knowledge to prioritize analyses and connect insights to action
  • Completes necessary task, even menial ones, with joy
  • Enjoys capturing complex analyses problems; able to identify and apply appropriate advanced statistical analysis techniques as necessary
  • Solution-oriented
  • Able to think critically


  • MS or higher in a technical field, such as Soil Chemistry, Physics, Agronomy, Statistics
  • Technical requirements:
    • Expertise with data modeling and warehouse architecture
    • Proficiency with visualization frameworks (prior experience with Looker preferred)
    • Expertise with SQL (any dialect)
    • Expertise with Python (skitlearn, pandas, geopandas, matplotlib), git
    • Experience with agricultural data and familiarity
    • Experience with spatial modeling
  • Experience work cross-functionally
    • Working with agile software development teams
    • Building consensus with senior leadership
    • Ability to work with diverse stakeholders to translate ambiguity into clear project requirements
    • Previous work with engineering teams and coding with unit test, etc.
  • Experience working in a fast-paced, growth environment
  • Industry experience preferred (data science, agricultural tech, life sciences, etc.)

Indigo is committed to living our values, specifically creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow. As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.

*** Mention DataYoshi when applying ***

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