Indigo is a company dedicated to harnessing nature to help farmers sustainably feed the planet. With a vision of creating a world where farming is an economically desirable and accessible profession, Indigo works alongside its growers to apply natural approaches, conserve resources for future generations, and grow healthy food for all. Utilizing beneficial plant microbes to improve crop health and productivity, Indigo’s portfolio is focused on cotton, wheat, barley, corn, soybeans, and rice. The company, founded by Flagship Pioneering, is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil. www.indigoag.com

As a Data Scientist on our GeoInnovation team you will perform in-depth end-to-end analyses of incredibly large and complex datasets. Collaborating across multiple teams, your work will directly impact data-driven recommendations for growers and other external users. Collaborating closely with other Data Scientists and Engineers, you will improve and expand upon existing systems and analytical products, ultimately owning your own analyses and associated products, in this case, specifically related to grain quality. 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:

• Develop a comprehensive understanding of Indigo's existing systems and data assets
• Take ownership of discrete analyses, delivering on challenging deadlines becoming a go-to person in the organization
• Build statistical models to inform business strategies and product offerings
• Design and develop compelling visualizations
• Present results of analyses to both technical and non-technical audiences
• Contribute to thoughtful business and sales recommendations using results of analyses
• Develop hypotheses and design associated experiments to support new initiatives

Competencies:

• Insatiable hunger to learn
• Proactive and self-directed
• Thrives in a fast-paced, growth environment
• Comfortable working with messy datasets
• Interact effectively with a diverse set of teams including, but not limited to, agronomy, engineering, sales, logistics, operations research, product development, and project management
• Strong communication skills; able to translate complex analyses into interpretable results, both visually and verbally
• Able to work on complex analysis problems, identify and apply appropriate advanced statistical analysis techniques as necessary

Qualifications:

• Practical experience in working in an agricultural context or a strong desire to enter the industry
• Quantitative academic degree, advanced degree(s) preferred
• 3+ years professional experience at the nexus of experimental design and data management
• 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 data is a plus