Indigo improves grower profitability, environmental sustainability, and consumer health through the use of natural microbiology and digital technologies. Utilizing beneficial plant microbes and agronomic insights, Indigo works with growers to sustainably produce high quality harvests. The company then connects growers and buyers directly to bring these harvests to market. Working across the supply chain, Indigo is forwarding its mission of harnessing nature to help farmers sustainably feed the planet. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil. http://www.indigoag.com/

Responsibilities:

• Identify role of multi-layered network based models in existing workflows and create development and testing plans
• Take ownership of end-to-end data analyses using these models and deliver on challenging deadlines
• Effectively interface with engineers to scale these models and build code that can be deployed into production systems
• Design long-term strategies to leverage newest developments in machine learning within context of the broader GeoInnovation Data Science priorities
• Contribute thoughtful business recommendations using effective communication of findings (through synthesis and visualization of quantitative information)

Competencies:

• Ability to build a variety of effective statistical models from large-scale, real-world datasets
• Ability to effectively visualize data in a clear and compelling manner
• Self-directed, able to build and drive their own agenda for improvements & experiments
• Works well both as a team member and independently
• Can translate the results of complex analyses into interpretable results, visually and verbally
• Coding skills, and an interest in improving an existing codebase
• Writes well-documented, clean, maintainable code in a collaborative environment

Qualifications:

• Experience with git or similar
• Experience using PostgreSQL or similar (not required, but useful)
• Experience with geospatial data, remote sensing or imagery data (not required but useful)
• Experienced using Python and/or R for data analysis (fluency in both is great)
• Working on an academic degree with a quantitative focus
• Desire to work in a software and/or product development environment
• Experience with either AWS or Google Cloud (not required, but useful)