Data Scientist, Analysis Infrastructure at Indigo

| Greater Boston Area
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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, Indigo’s 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 Indigo’s 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.

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Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • TypescriptLanguages
    • GraphQLLanguages
    • ReactLibraries
    • ReduxLibraries
    • ExpressFrameworks
    • Node.jsFrameworks
    • MySQLDatabases
    • PostgreSQLDatabases

Location

On the edge of Charlestown, we are within walking distance to restaurants and bars. The Sullivan Square T and bus stop is also right next door!

An Insider's view of Indigo

What projects are you most excited about?

Our mission is to provide agronomists with unbiased real-time data we are collecting across thousands of acres at the ground level and from space. It's such a thrill to be working on the data and analysis perspective of this massively cross-disciplinary team that helps agronomists initiate data-powered conversations to provide substantial results.

Jyoti

Principal Data Scientist

What makes someone successful on your team?

A successful Indigo team member is someone willing to continuously learn and improve, regardless of experience or role. Whether you’re an Engineer, Account Manager, Business Analyst, or Scientist, successful team members keep the bigger picture in mind and bridge disciplines to solve problems facing the incredibly complex system that is agriculture

Hilary

Software Product Manager

What are Indigo Perks + Benefits

Health Insurance & Wellness Benefits
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Parking
Recreational Clubs
Relocation Assistance
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
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