We are 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 Ag 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 Data Science team explores and interprets data from the frontiers of carbon sequestration and quantification technologies. We are looking for a data scientist who is excited by the challenge of turning complex data from the physical world into insights that drive decisions and inform the future of Indigo’s Carbon program.
Responsibilities:
Reporting & Quality Assurance:
Provide a centralized overview of data available for exploring and evaluating new technologies, including both internal experiments and literature review
Define automated data quality tests, which can be implemented by a software engineering or field data team
Model Integration:
Translate diverse data streams into standardized inputs for running a range of models
Collaborate with other data scientists and subject matter experts to build, train, and test models related to sequestration
Analysis & Exploration:
Develop frameworks to evaluate new sequestration and measurement technologies
In collaboration with other data scientists, explore and analyze data from tech pilots, internal experiments, data sharing agreements, etc.
Quantify the potential benefits of new technologies and contribute to recommendations
Competencies:
Collaborate on data exploration and reporting with teammates using a version control system, working in SQL and 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
Translate functional requirements into easy-to-use, flexible reporting solutions and dashboards
Quantify the statistical significance of simple experimental trials
Articulate complex ideas and concepts into understandable insights that enable decisions for specific audiences
Refine broad or ambiguous goals into clear questions and actions
Demonstrate outstanding problem-solving skills
Actively seek answers to questions as a self-starter
Qualifications:
BS or higher in a technical field, such as Physics, Agronomy, or Statistics (preferred) and/or relevant industry experience
Technical Requirements:
Proficiency with Python, R, or another programming language
Proficiency with visualization frameworks
Proficiency with SQL (any dialect)
Experience with version control (preferred)
Experience with geospatial analysis (preferred)
Experience with data modeling and warehouse architecture
Experience working cross-functionally:
Experience working with agile software development teams (preferred)
Ability to work with diverse stakeholders to translate ambiguity into clear project requirements
Experience working in a fast-paced, growth environment
Benefits:
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.