We’re building the technology to feed the world and fight climate change. We believe that through teamwork we can achieve more to benefit all of agriculture: from farmers to consumers to the planet.
Game changers don't fit in a box. The requirements listed above are examples of what we think enables success in this role, but we recognize the impossibility of fully capturing a singularly perfect description, and we believe in the power of diversified and creative displays of skills and qualifications. We embrace unconventional. We embrace creativity. We embrace a challenge to the status quo. If the specifications in the list below aren’t an exact match… great! Apply, be you, and be proud that you aren’t ordinary (we certainly aren’t!).
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About the role:
As a Data Scientist on our Marketplace Data Science 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.
Build a deep understanding of existing systems and data assets; contribute to components of in-flight ML models
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
Insatiable hunger to learn and a curious nature
Extensive experience working with diverse and often messy datasets
Strong communication skills; able to translate results of complex analyses into interpretable results, both visually and verbally
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
Ability to build and apply machine learning, statistical, and/or econometric models to large-scale, real-world datasets
Proactive & self-directed, able to build and drive their own agenda for improvements & experiments
2+ years post-academic experience
Masters or PhD degree with a quantitative focus preferred
Fluent in Python, experience with R a plus
Experience with Airflow or similar DAG-based workflow management software
Experience with git or a similar version control software
Experience using PostgreSQL
Practical experience building predictive models
Experience working in an AWS environment
Experience working in an Agile software and/or product development environment preferred
Familiarity with geospatial, satellite, or imagery data strongly preferred
Health, dental, and vision insurance for you and your family
Generous time off
A remote-first organization with flexible work hours
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.