Senior Climate Analytics Specialist

Description

Title: Senior Climate Analytics Specialist

Preferred Locations: Salt Lake City, UT | New York City, NY | Crystal City, VA

Are you ready to make a difference?

ICF is seeking a Senior Climate Analytics Specialist with strong scientific programming and cloud-based, big data experience to support our broad portfolio of work on climate risk and resilience. Our projects span across commercial clients and all levels of government, enhancing the resilience of energy, transportation, and other critical infrastructure systems, and the vital societal and natural elements that make our communities whole. Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.

The consultant chosen for this position 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 short- and long-term projects. This role is ideal for candidates interested in applying advanced analytics and machine learning to novel, high-impact problems where traditional modeling approaches are insufficient and new methods must be developed.

The preferred locations for this position are Salt Lake City, New York City, or Crystal City, VA.

Why you will love working here:

Quality of life: Flexible workplace arrangements, work-life balance

Investment of the community: Donation matching, volunteer opportunities

Investment in you: Tuition reimbursement, access to professional development resources, 401kmatching, Employee Stock Purchase Plan

And many, many more (Ask your recruiter for more details!)

What you’ll be doing…

Serve as a technical expert on multi-disciplinary teams focused on applied climate risk and resilience projects

Use scientific programming, cloud-based distributed computing, and large-scale geospatial data processing to advance climate analytics and products

Translate complex climate risk questions into tractable 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

Interface with clients on climate risk and resilience topics, and prepare high-quality communication materials such as presentations and reports

Complete tasks in fast-paced and self-motivated environment in a timely and efficient manner

What you’ll need to have…

Bachelor's Degree in climate science, atmospheric science, Earth 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 scalable, cloud-based workflows for large geospatial and climate datasets, including parallel 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 related topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.)

Our Preferred Skills/Experience…

Advanced degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar

Ability to perform self-directed analytical work related 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 complex 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

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$81,499.00 - $138,549.00

Nationwide Remote Office (US99)