Climate Data Analyst II
Remote/Home Based
Full Time Entry-level / Junior USD 92K - 102K
EPRI
The Electric Power Research Institute (EPRI) conducts research, development, and demonstration projects for the benefit of the public in the United States and internationally. As an independent, nonprofit organization for public interest energy...The successful candidate will join the Energy Systems and Climate Analysis Group at EPRI (http://esca.epri.com), a team of leading earth scientists, climate economists and energy system analysts. In this role, you will contribute to the Climate Resilience Analysis project team’s research activities and efforts to improve understanding of climate risk and approaches to enhance energy-societal resilience. EPRI works with stakeholders to characterize current and projected trends in relevant weather and climate variables, identify potential climate impacts, complete quantitative climate risk assessments, and assess possible response strategies.
We are looking for candidates with demonstrated quantitative analysis and Python coding skills with applied experience with weather and climate data products. You will support the acquisition and analysis of climate data that will be used for physical climate risk assessments, climate adaptation and resilience strategies, and related topics. This work will be done in close collaboration with project leads. You may also be asked to support the team’s broader portfolio of projects, including work with historical observations and gridded (i.e., reanalysis) data, climate projection data (e.g., downscaled CMIP6 products) and/or integration with energy system data and tools. You may also assist project managers with communications and writing reports as needed. Strong consideration will be given to candidates with demonstrated Python skills and familiarity with weather and climate data.
The ESCA team offers the opportunity to work with established experts in a stimulating and innovative research environment to tackle some of today’s most pressing societal challenges – energy and climate change – in collaboration with electric companies and government entities.
Job Duties & Responsibilities:
Performs complex analysis with moderate direction and supervision
Works directly with EPRI staff and may engage in supervised interaction with members and industry
Key Responsibilities and Requirements:
Conducts technical searches and analyzes information in support of the project team
Development of python packages for climate research
May conduct independent research
Assists Project/Program managers in assessing customer needs, formulating technical approaches, preparing proposals, technical publications/papers, and making presentations
Education:
Master’s Degree or PhD in a technical field or equivalent experience required
The ideal candidate would have:
Master’s Degree or PhD in meteorology, climate sciences, geography, earth sciences, environmental engineering, energy resources, computer science, or a related field
Experience collecting and analyzing weather and climate data (weather and climate model outputs, surface station observations, reanalysis products, satellite observations, etc.)
Excellent Python skills including familiarity with the following packages: numpy, xarray, pandas, matplotlib, xclim, scikit-learn, dask, and tensorflow
Technical aptitude and experience with quantitative data analyses and methods, including statistical downscaling and bias-adjustment, extreme value theory, machine learning, and stochastic modeling
Familiarity with the published literature and policies relating to climate change impacts, adaptation, and vulnerability (e.g., IPCC WGII domain), climate scenarios and projected changes, and climate-energy-economics is a plus
Experience with climate models or hydrological models is a plus
Excellent research and writing skills; strong oral communications skills; ability to present complex information in a clear and concise manner
A positive attitude, comfortable working both collaboratively and independently
Tags: Computer Science Economics Engineering Machine Learning Matplotlib NumPy Pandas PhD Python Research Scikit-learn Security Statistics TensorFlow
Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flex vacation Health care Medical leave
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