Website Apollo Agriculture

Our mission is to deliver modern farming everywhere

Apollo Agriculture is seeking a Data Scientist to help us change how African farmers access credit, customized advice, and farm inputs at radical scale. As a Data Scientist you will work across all parts of our business to achieve these goals.

Areas of focus:

  • Provide analytical support to inform strategic business decisions
    Build and improve models to predict which customers are most likely to succeed with our products
  • Use satellite, survey, and other data to better understand how our customers crops are growing and ways in which we can better support them
  • Work with our agronomists to provide custom recommendations for each customer
  • Collaborate with engineers to transform data driven insights into finished scalable products

You are:

  • Capable of deep analytical dives to help solve our thorniest challenges
  • Creative and curious to find new insights in data and pose new questions that help shape our business
  • Comfortable explaining complex solutions to non-data science peers across multiple continents and cultures
  • Analytically rigorous, but recognize when complete is better than perfect
  • Proficient in a data science language/framework (Python, R, Matlab, Julia, etc.)

Nice to have:

  • Ability and desire to travel to Kenya 2-3 times per year
  • Competent with SQL and/or geospatial data
  • Excellent data visualization skills
  • Familiarity with cloud platforms (AWS, Azure, etc.)
  • Experience with sklearn/numpy/scipy or similar

About us:

Apollo Agriculture uses satellite data, machine learning, and mobile phones to help African farmers increase their production from current levels (~650 kg/acre) to U.S. levels (~4500 kg/acre). We are a team of software engineers, data scientists, economists, and operators with deep experience from The Climate Corporation, One Acre Fund, Uber, and ACRE. We value evangelical pursuit of mission with a pragmatic approach, humility in the face of challenge, active discussion of disagreements, and considerate listening.

To Apply:

Please submit your resume or LinkedIn to with the subject line “Last Name – Data Scientist”. Convince us that you’re a fantastic fit for this role.

To apply for this job email your details to