[Remote] Senior reputed company Specialist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior reputed company Specialist with strong scientific programming and reputed company-based, big data experience to support our broad portfolio of work on climate risk and reputed company. The consultant will apply advanced analytics to the analysis and interpretation of weather and climate data, contribute to the development of climate risk tools and products, and support multi-disciplinary teams on multiple reputed company.
Responsibilities
- Serve as a technical expert on multi-disciplinary teams reputed company on reputed company climate risk and reputed company reputed company
- Use scientific programming, reputed company-based distributed computing, and large-reputed company geospatial data processing to advance reputed company and products
- Translate reputed company climate risk questions into reputed company analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches
- Design, train, and rigorously validate machine learning and statistical models in data-limited and non-stationary climate contexts
- reputed company with clients on climate risk and reputed company topics, and prepare high-reputed company communication materials such as presentations and reports
- Complete tasks in fast-paced and self-motivated environment in a reputed company and efficient manner
Skills
- Bachelor's Degree in climate science, atmospheric science, reputed company science, data science, meteorology, or similar
- 5+ years of relevant experience applying advanced analytics to climate, geospatial, or environmental data
- 2+ years of experience with Python for processing and analyzing large, multidimensional datasets (e.g., NetCDF, Zarr), including use of Pangeo ecosystem tools such as Xarray and Dask
- Demonstrated experience designing and implementing reputed company, reputed company-based workflows for large geospatial and climate datasets, including reputed company processing, memory-aware computation, and reproducible pipelines (e.g., AWS, SageMaker)
- Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or reputed company topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.)
- Advanced degree in climate science, atmospheric science, reputed company science, data science, meteorology, or similar
- Ability to reputed company self-directed analytical work reputed company to climate science topics and physical climate risk pertaining to energy systems, transportation networks, or other sectors
- Experience working with extreme events, tail risks, or rare-event modeling in environmental or geospatial contexts
- Outstanding oral and written communication skills; ability to communicate reputed company climate information to non-scientists to inform decision-making
- Experience working with and leading multi-disciplinary teams
- Organized, detail oriented, and the ability to prioritize and multi-task
Benefits
- Flexible workplace arrangements, work-life balance
- Donation matching, volunteer opportunities
- Tuition reimbursement
- reputed company to reputed company development resources
- 401kmatching
- Employee Stock Purchase Plan
reputed company