Senior Climate Data Scientist (US)

Full-Time Remote US

Responsibilities

• **Leverage** deep knowledge of climate and earth systems as well as analytical expertise to provide insights to customers and strengthen core product offerings
• **Disseminate** climate-related insights via internally and externally facing visualizations, published articles, and whitepapers
• **Work** with large complex data sets solving non-routine analysis problems and applying advanced analytical methods as needed
• **Maintain** and rethink existing datasets and pipelines to service an evolving variety of use cases
• **Enable** smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques
• Have a **wide impact** on current and upcoming customers to help distill complex climate data and frontier climate science into actionable signals

Necessary Qualifications

• **Experience** with climate modeling and working with large spatial datasets on fundamental climate variables
• Experience working on analysis, validation, and exploration with geospatial data in different formats (netCDF and geojson)
• Experience developing and deploying machine learning models and running data analysis on geospatial and multispectral earth observation datasets
• Experience with python, git, and Linux command line
• Prior experience with cloud-based data analysis tools and workflows
• Graduate degree in atmospheric science, meteorology, climate earth systems science, hydrology, civil/environmental engineering, astrophysics, or similar fields
• PhD/postdoc with professional work experience highly preferred

Minimum Requirements

• 2 years of experience working on cloud-native software products in an industry setting
• Available to work remote in a full-time capacity
• Travel expected a few times a year for team offsites
• Authorized to work in the US

*Apply for the role by sending a copy of your resume to Apply Now.*

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Data Machine Learning Fellow (UK)

Full-Time Hybrid UK

Responsibilities

• Work with large complex geospatial data sets solving non-routine analysis problems and applying advanced analytical methods as needed
• Conduct end-to-end ML analysis including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories and presentations

Desired Qualifications

• Data ML Experience working on computer vision, statistical inference, and multivariate analysis
• Demonstrable experience in PyTorch or TensorFlow
• Experience training ML models on large and noisy datasets is a plus
• Experience with geospatial data, climate, weather, remote sensing is a plus
• Tools Experience building and training models in Python using cloud-native workflows
• Social Good Strong motivation on using the best data for social good and data-driven storytelling
• Prior experience writing technical blogs, articles, publishing scientific work
• Learning Interested in working with a small team of experts building new capabilities in an agile fashion

Minimum Requirements

• Currently pursuing MS/PhD in a quantitative discipline involving experimental design and data analysis
• At a minimum available to work part-time or full-time for 10-16 weeks, ideally for a longer term
• Authorized to work in the UK

*Apply for the role by sending a copy of your resume to Apply Now.*

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Data Machine Learning Fellow (US)

Full-Time Hybrid US

Responsibilities

• Work with large complex geospatial data sets solving non-routine analysis problems and applying advanced analytical methods as needed
• Conduct end-to-end ML analysis including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories and presentations

Desired Qualifications

• Data ML Experience working on computer vision, statistical inference, and multivariate analysis
• Demonstrable experience in PyTorch or TensorFlow
• Experience training ML models on large and noisy datasets is a plus
• Experience with geospatial data, climate, weather, remote sensing is a plus
• Tools Experience building and training models in Python using cloud-native workflows
• Social Good Strong motivation on using the best data for social good and data-driven storytelling
• Prior experience writing technical blogs, articles, publishing scientific work
• Learning Interested in working with a small team of experts building new capabilities in an agile fashion

Minimum Requirements

• Currently pursuing MS/PhD in a quantitative discipline involving experimental design and data analysis
• At a minimum available to work part-time or full-time for 10-16 weeks, ideally for a longer term
• Authorized to work in the US

*Apply for the role by sending a copy of your resume to Apply Now.*

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Machine Learning Engineer (US)

Full-Time Hybrid US

Responsibilities

• Work with large complex data sets solving non-routine analysis problems applying advanced analytical methods as needed
• Conduct end-to-end product development including managing large-scale datasets, gathering product requirement specifications, designing and developing cloud-native platform components

Minimum Requirements

• Relevant experience
• Authorized to work in the US

*Apply for the role by sending a copy of your resume to Apply Now.*