Indigo: Pricing / Risk Data Scientist
500 Rutherford Ave, Suite 201
Boston, MA 02129

Employee Testimonials


Indigo improves grower profitability, environmental sustainability, and consumer health through the use of natural microbiology and digital technologies. Utilizing beneficial plant microbes and agronomic insights, Indigo works with growers to sustainably produce high quality harvests. The company then connects growers and buyers directly to bring these harvests to market. Working across the supply chain, Indigo is forwarding its mission of harnessing nature to help farmers sustainably feed the planet. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and So Paulo, Brazil.

We are looking for an experienced data scientist with a quantitative financial and business analytics background. The role of Pricing/Risk Data Scientist will work within the Data Strategy and Sciences department and work closely with the Hedging and Engineering teams to build finance-focused prediction analytics. Specifically, this person will build models to understand and predict futures, basis, and cash prices. This high-impact role will carry a key voice in conversations around Indigo market and transaction decisions.


  • Develop strong understanding as a pricing/risk subject matter expert within the Data Science Global Markets team
    • Understand futures and basis market fundamentals
    • Articulate key problems the Data Science Global Markets (DSGM) team is tackling and why they matter for the companys bottom line and mission
    • Gain access and understanding of both the DSGM and broader Indigo technology platform (e.g., AWS access, engineering processes, etc.)
  • Firmly establish quantitative relationships between the target variable of a descriptive price model and two candidate predictors drawn from the qualitative relationship model
  • Establish all principal quantitative relationships for descriptive price models
  • Serve as a key market expert with respect to the quantitative relationships between key factors driving grain pricing. This includes the relevant data, analysis methods, and metrics
  • Support the generation and presentation of descriptive model results
  • Extend descriptive pricing model to one non-US country


  • Comfortable with complex spreadsheets
  • Fluent with at least one of the following programming languages: R, Python
  • Able to communicate and partner across various groups in an ambiguous environment
  • Strong strategic and analytical judgment
  • Highly invested in data consistency and reliability of models, able to communicate model assumptions and shortcomings
  • Highly functional at an independent level
  • Strong collaborative voice within a cross-functional team


  • 3+ years experience in quantitative financial and business analysis
  • Experience with time-series modeling, incorporating seasonal effects
  • Experience with processes such as forecasting and long-term business outcomes, reporting, and analytics
  • High familiarity with causal modeling and counterfactuals in financial contexts
  • Experience building predictive models and advanced analyses across large, messy, and complex datasets
  • Experience constructing SQL queries and retrieving data from relational databases
  • Also Preferred:
    • Exposure to grain marketing and grain markets
    • Experience with dynamic modeling
    • Exposure to data exploration and visualization tools



Employee Testimonials