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/

As a Data Scientist on our GeoInnovation team, you will leverage your knowledge of predictive modeling and your experience writing scalable code to contribute to the development of our global crop yield forecasts. Collaborating closely with other Data Scientists and Engineers, you will improve and expand upon existing systems, ultimately owning your own production models. This is a unique opportunity to play an integral role on a close-knit team that is dedicated to solving complex and meaningful problems.

Responsibilities:

• Build a deep understanding of existing systems and data assets; contribute to components of in-flight ML analyses
• Take ownership of discrete analyses, delivering on challenging deadlines
• Independently plan and execute modifications and improvements to existing macro-level yield modeling (for production and testing), leading to measurable improvements in results
• Collaborate with Engineering on scaling your work

Competencies:

• Insatiable hunger to learn
• Comfortable working with messy datasets
• Strong communication skills; able to translate results of complex analyses into interpretable results, both visually and verbally
• Enjoys collaborating with others
• Proactive and self-directed
• Strong coding skills, able to inherit and improve an existing codebase; writes well-documented, clean, maintainable code in a collaborative environment
• Thrives in a fast-paced, growth environment

Qualifications:

• 1+ years experience in industry
• Masters or PhD degree with a quantitative focus preferred
• Fluent in Python and R
• Experience with git or a similar version control software
• Experience using PostgreSQL
• Practical experience building predictive models
• Experience working in either AWS or Google Cloud environment
• Experience working in an Agile software and/or product development environment preferred
• Familiarity with geospatial, satellite, or imagery data strongly preferred