Pricing Data Scientist

Pricing/Risk Data Scientist

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 São 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 both futures and basis prices. This high-impact role will carry a key voice in conversations around Indigo market and transaction decisions. 


  • Gather all requirements from hedging team for descriptive futures and basis models
  • Establish strategy and plan for new data integration with data management and engineering
  • Become the go-to financial data scientist at Indigo
  • Be viewed as partner with key stakeholders
  • Build full prototype for transition to DSE
  • Build full predictive agricultural pricing platform
  • Understands and embodies our mission & core values
    • Excited by Indigo’s mission; believes that Indigo can fundamentally change the agriculture industry; can clearly articulate passion for our mission and values
    • Optimistic and innovative; solution-oriented; shows no signs of cynicism


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


  • 4+ years of 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
  • Preferred:
    • Exposure to grain marketing and grain markets
    • Experience with dynamic modeling
    • Exposure to data exploration and visualization tools


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