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Description

On-Call Scientific Software Engineer (Climate)

Location: US Remote

ICF seeks a Scientific Software Engineer for the ClimateSight project, a cutting-edge initiative focused on scalable, distributed modeling of climate-related geospatial data. This position will collaborate closely with domain scientists and technical experts to transform experimental code into robust, production-ready software. The engineer will lead efforts to refactor and optimize Python-based models for distributed computing using the Pangeo ecosystem, particularly Xarray and Dask, and will help integrate these models into a modular, well-documented Python package.

The successful candidate will bring deep experience in scientific computing, object-oriented Python development, and cloud-based data workflows. They will be responsible for implementing memory-efficient stochastic modeling methods, managing virtual environments, and ensuring compatibility with ARCO geospatial formats in AWS S3. This role requires a proactive, collaborative mindset and a commitment to building tools that are both high-performing and accessible to a broad range of users.

This is a remote, on-call hourly role that provides flexibility to work from zero to 20 hours per week.

Please note: Please ensure experience with Xarray and Dask is clearly notated on resume and/or cover letter for immediate consideration.

About On-Call Employment With ICF

Given the seasonal or project-specific nature of this project, ICF often hires professionals as “On-Call” employees. On-Call employees are scheduled for work hours as they become available (while we usually schedule work hours a few weeks ahead of time, and each on-call employee is free to accept or refuse the hours assigned to them in a given week. On-Call employees may work concurrent projects outside of their ICF assignment (as long as their outside work does not create a conflict of interest with the work they do for ICF).

Key Responsibilities

Work with domain and technical experts to refactor existing experimental code to optimized production code (e.g. refactoring models to Python classes with appropriate methods).
Refactor/develop code to allow out-of-core computing across a distributed cluster using Xarray and Dask.
Implement methods for stochastic modeling (e.g. Monte Carlo sampling) in a memory-efficient and Dask-compatible manner.
In collaboration with domain and technical experts, organize disparate functions and models into a fully integrated Python package, including interchangeable submodules for performing different stages of modeling.
Write thorough and accessible documentation for using, maintaining, and expanding the developed package so that it is easily applied by other staff.
Perform other duties as assigned.

Minimum Qualifications

Bachelor of Science degree in engineering, computer science, or related discipline.
5+ years of experience with the Pangeo ecosystem of Python packages, especially Xarray and Dask libraries.
5+ years of experience refactoring Python functions to Dask-compatible versions suitable for distributed computing e.g. using apply ufunc and map_blocks from Xarray.
5+ years of experience working with and producing ARCO geospatial data formats (e.g. Zarr stores, within AWS S3 storage).
Experience in object-oriented approaches to Python development.
Experience developing and deploying Python packages.
Experience with virtual environment management (e.g. using uv and pixi).

Preferred Skills/Experience

Climate Science, Physics, Math, or Environmental Science background.

Professional Skills

Team player with the ability to work in a fast-paced environment.
Great organization and time management skills.
Excellent verbal, interpersonal, and written communication skills.
Demonstrated, outstanding level of professionalism in providing administrative support, including ability to exercise good judgment, discretion, tact, and diplomacy.
Ability to apply detailed knowledge of organizational procedures to make independent decisions.
Strong attention to detail and ability to produce error-free work products.
Excellent problem-solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions.
Proficient with virtual communication platforms.

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 can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO (https://www.icf.com/legal/equal-employment-opportunity) policy.

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.

Read more about  workplace discrimination righ t s 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:

$98,124.00 - $166,810.00

Nationwide Remote Office (US99)

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