What if nature could be harnessed to help farmers sustainably feed the planet? Since 2014, Indigo has questioned agriculture's full value chain to improve grower profitability, environmental sustainability, and consumer health. The company’s scientific discoveries and digital innovations have amplified new value from soil to sale, benefiting more than 10,000 growers to date. Indigo is also the company behind The Terraton Initiative, a global effort to drawdown one trillion tons of atmospheric carbon dioxide by unlocking the potential of agricultural soils. In 2019, Indigo was ranked #1 on CNBC’s Disruptor 50 list. Headquartered in Boston, MA, Indigo has additional offices in Memphis, TN; Research Triangle Park, NC; Sydney, Australia; Buenos Aires, Argentina; Basel, Switzerland; 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 futures, basis, and cash prices. This high-impact role will carry a key voice in conversations around Indigo market and transaction decisions. 

 

Responsibilities:

  • 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 company’s 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

Competencies:

  • 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

Qualifications:

  • 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

#LI-BS1

 

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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