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Machine Learning Summer Intern

Responsibilities:

  • Work with large, complex data sets. solving non-routine analysis problems, applying advanced analytical methods towards assessment of physical climate risk
  • Conduct end-to-end analysis that includes data gathering, requirements specification, processing to produce ongoing deliverables
  • Structuring data-driven impact stories and presentations. Potential to present your learnings in industry leading technical reports and conferences¬†
Desired Qualifications:

  • Data/ML: Experience working on statistical inference, multivariate analysis, sampling methods and ML on geosciences and earth observation datasets
  • Tools: Experience working with large datasets using Python, R or similar
  • Domain: Experience in exploratory data science, computer vision and machine learning
  • Social Good: Strong motivation around using the best data for social good and data driven storytelling
  • Learning: Interested in working with a small team of experts to build new capabilities in an agile self-directed fashion
Minimum Requirements:

  • Currently pursuing MS/PhD in a quantitative discipline, involving experimental design and data analysis
  • Available to work remote part-time or full-time for 10-16 weeks
  • Authorized to work in the US or EU

  • Available to start in June 2021