Environmental Modeler – HabiTerre

Working at HabiTerre

We are an equal opportunity employer with a team around the country. We offer a workplace that is both casual and professional, and a culture that is committed to learning, fun, and excellence.

Our team consists of people who are passionate about creating insights-rich and intuitive customer experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems.

We work in small collaborative groups to keep things simple and efficient, and thus give a lot of autonomy to our staff members to perform the work required and be creative.

Leadership and Cultural Expectations

At HabiTerre, we hold ourselves to high standards of leadership and cultural values. We expect all team members to embody the following principles:

• Be authentic and tell your truth: Embrace transparency and honesty in all communications and interactions.
• Persevere: Demonstrate resilience and determination in the face of challenges, pushing through obstacles to achieve our goals.
• Lean in and do the right thing, even when it is hard: Act with integrity and ethical conduct, making decisions that prioritize the greater good.
• Choose excellence; be your best, keep improving, exceed expectations: Strive for excellence in everything you do, continuously seeking opportunities for growth and development.
• Exercise confident humility: Approach your work with confidence tempered by humility, recognizing the value of diverse perspectives and the importance of lifelong learning.

Location: Champaign IL / Remote

Job Responsibilities

• Develop scalable computation pipelines for process-based carbon models and integrate different sources of satellite data, in a high-performance computing environment (e.g. supercomputer and/or cloud computing platforms). [Note: Major single components have been developed and tested; the major task here is to integrate different components to optimize computation efficiency.]
• Conduct model simulation and uncertainty analysis and ensure QA/QC.
• Handle data manipulation and visualization and administration of systems in accordance with enterprise data security protocols and privacy policy.
• Document code and results and draft scientific reports for generated results.
• Work with product management and R&D team to productize.
• Generate deliverables upon customers’ requests and work to address customer needs and feedback.
• Effectively communicate scientific outcomes with customers.
• Automate and simplify team development, test, and operations processes.
• Provide necessary support to the company’s intellectual property counsel.

Basic Qualifications:

• Master in Earth Science, Environmental Science/Engineering, Atmospheric Science, Hydrological Science, or related technical field.
• 3+ Years of experience in Python development and scientific data visualization.
• 3+ Years of experience in using ecosystem or climate models or using model outputs.
• Proficiency with Linux/UNIX and Shell scripting and high-performance computing.
• Experience in implementing basic machine learning algorithms using Python ML/DL frameworks, such as PyTorch, Tensorflow, Scikit-Learn.
• Experience with developer’s tools, such as Pycharm, Jupyter, Spyder, Git, etc.
• Experience in production support, customer interaction, and troubleshooting.
• Comfortable with multi-tasking and working as part of a team.

Preferred Qualifications:

• PhD degree in Earth Science, Environmental Science/Engineering, Atmospheric Science, Hydrological Science, or related technical field.
• Experience in process-based earth system models, ecosystem models, and/or biogeochemistry models.
• Experience in satellite remote sensing and geospatial data processing.
• Experience in model-data fusion methods, such as calibration, data assimilation, etc.
• Experience with MPI or other parallel computing architectures.
• Experience in developing and releasing highly scalable products.
• Possession of excellent oral and written technical communication skills.
• 2+ Years experience of implementing large-scale data processing and modeling pipelines on cloud computing platforms such as AWS, GCP and Azure.

Other Considerations:

• Industry-level competitive compensation, based upon relevant experience.
• This position provides stock options.
• This position is REMOTE or in Champaign, Illinois.
• This position considers sponsoring H1B visa application for qualified international applicants.

Apply here