: Data Scientist, Analysis Infrastructure
500 Rutherford Ave, Suite 201
Boston, MA 02129

Employee Testimonials

Video

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, grow healthy food for all, and conserve resources for future generations. Utilizing beneficial plant microbes to improve crop health and productivity, Indigos portfolio is focused on cotton, wheat, rice, corn, and soybeans. The company is headquartered in Boston, MA, with commercial and customer service based in Memphis, TN. www.indigoag.com

The role of the Data Scientist, Analysis Infrastructure will build scalable solutions to generate insights from a broad set of Indigo data assets, ranging from high-resolution machine data to various remote imagery sources. The new hire will join a cross-functional team building an analytics engine that leverages data flowing from innovative field experimentation within the Indigo ecosystem, yielding data products that serve multiple internal and external customers. In addition, this role will use this unique grower ecosystem to prototype algorithms and tools for Indigo Fields, our distinctive software product that empowers grower decision-making to sustainably and profitably produce food while generating carbon credits.

Responsibilities

  • Build tools leveraging Indigos extensive data assets to yield better insights from experiments, bringing value to internal and external customers.
  • Contribute to recommendation engine codebase that drives grower action by using valuable intelligence from Indigo Research Partners, the unique research ecosystem Indigo runs on commercial growing operations.
  • Develop scalable algorithms for Indigo Fields software product focusing on the processing and cleaning of high-resolution machine data.
  • Develop a comprehensive understanding of Indigo's existing systems and data assets.
  • Take ownership of discrete analyses with challenging deadlines, becoming a go-to person in the organization for high-quality deliverables.
  • Build automated prototypes that can deliver compelling visualizations in a timely matter and at scale.
  • Present results to both technical and non-technical audiences to effectively communicate technical merit and business value of their work.
  • Synthesize data collected from multiple streams to help determine the optimal systems to improve grower success.
  • Actively contribute to team code review and collaborative coding community, as well as internal seminars on topics of expertise (machine learning, statistics, quantitative modeling).

Competencies

  • 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 environment, able to succeed through cross-functional collaboration.
  • Proactive, self-directed, and able to think critically while being solution-oriented.
  • Highly organized and demonstrated thought leader; able to influence without authority.
  • Comfortable working with messy data-sets from a variety of non-normalized sources; can instill order and standardization.
  • Strong communication skills; able to translate results of complex analyses into interpretable results, both visually and verbally.
  • Demonstrated ability to assemble data from multiple sources (specifically, agronomic field data from large geographical areas spanning many environments) into summaries capable of driving decisions to meet business or scientific objectives.
  • Enjoys capturing complex analyses problems; able to identify and apply appropriate advanced statistical analysis techniques as necessary.
  • Excels at communicating data analysis at the interface of business and data science via documentation and concise language.

Qualifications

  • 1+ years in professional data science setting.
  • Masters or Ph.D. with a quantitative focus (i.e. computer science, physics, computational biology).
  • Fluency in python and SQL required, fluency in R preferred.
  • 1+ years experience working with Agile or Scrum processes preferred.
  • Experience with spatial data analysis, data aggregation, and geovisualization.
  • Practical experience with at least one deep learning platform.
  • Strong experience with cloud computing (AWS preferred).
  • Familiarity with agriculture-specific data sources and use cases preferred.
  • This role is based in Boston, MA.

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.

Full-time

Employee Testimonials

Kelsey Steinbeck
Director, DevOps

"Working at Indigo allows me to make a positive impact on our Planet while also being part of industry disruption and innovation. I get to combine personal goals of doing positive things in the World while still getting to work on innovative technologies and solutions. It really can’t be beat!"

Daniel Glasgow
Software Engineer

"What drew me to Indigo was the opportunity for growth. Not just personal growth, although that’s appealing too, but the growth of the whole product. There are a million paths to pursue and we’re not penned in by existing structure."

Cassandra Ball
Cassandra Ball
Sr. Research Associate

"I love the lab culture of Indigo. It's great being surrounded by both hard-working and fun-loving people. Most of our experiments are challenging and having the support of coworkers throughout the day really makes it fun for me."

Trudi Baker
Trudi Baker
Senior Manager

"From the early days when the whole company consisted of less than 20 people, I remember EVERYONE would gather for lively brainstorming sessions, the founder of the company, bench scientists, data scientists, lab techs, an attorney - everyone participated and listened and learned from each other's experiences and opinions. Today Indigo is much larger, but this spirit of open communication and collaboration is still strong. We collaborate through our everyday work, through software like our online innovation exchange where we bounce ideas off each other, and through "hands-on" brainstorming sessions where we learn a new assay and some of the points which are most challenging and can share ideas about how to make it more efficient."

Lisa Hoopes
Sr. Software Product Manager

"I'm psyched to be building products that will help Growers sustainably feed the planet and put healthy food on people's plates. Working alongside genuine, kind, smart individuals I get the chance to combine my passion for health, nutrition and technology every day... and that's awesome."

Rachel Raymond
COO, North America

"I've spent my whole career in agriculture and always have been interested in the way technology can change farmers' lives. For US farmers, better technology might mean more profitability and the chance to keep the farm in the family for another generation. For farmers in many places in the world, like Central America or Southeast Asia, technology can mean the opportunity to send the next generation to school rather than keeping them home to help on the farm. We all count on farmers to be there for us, and bringing technology to the market that can make their lives easier is the most rewarding facet of Indigo's mission and my role within it."

Eda Reinot
VP, Regulatory

I find the most rewarding part of my job at Indigo is the opportunity to work with colleagues who have extraordinary talent and passion for what we are trying to accomplish as a company.