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. 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 and machine learning 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
• 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, capable of handling challenging deadlines

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 and explanatory 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