Senior Climate Data Scientist (US)
11 days ago
United States
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Job Description
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.*
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.*
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.*
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.*
Sust Global
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About this company
Founders:Josh Gilbert
Revenue:US$ 1 - 5 million
Investors:Hambro Perks Ltd., Powerhouse Ventures, Thirdstream Partners, Vala Capital
Stage:Other
Website:sustglobal.com
Our AI-powered geospatial platform empowers you to quantify climate-related risk and capture sustainable value. This enables you to understand, quantify and mitigate forward-looking losses, create new climate-resilient products, and go...read more
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