Responsibilities: - As part of an integrated project team consisting of software engineers data scientists and computational engineers contribute to a diverse Python codebase that models Carbon Capture and Sequestration systems
- Take a lead role in organizing and applying software engineering standards to the existing modeling codebase re-writing it to make it more robust maintainable and extensible
Responsibilities - Work with the data scientists and computational engineers to understand the existing Python financial and scientific models refactoring prototype models into production-quality code
- Architect code changes to improve performance maintainability or extensibility as needed
- Work with the team to establish software engineering best practices including coding standards code reviews and other standard techniques
- Work with the data team to improve data interfaces between the models and the data layer
Skills and Qualifications - Bachelors degree in computer science engineering quantitative sciences or mathematics; alternatively significant practical software project experience
- 5 years of meaningful Python project experience with code complex enough to require modular or object-oriented Python code
- Proficient with pandas and numpy libraries; capable of optimizing performance of code that uses them
- Experience integrating testing frameworks (e.g. pytest) writing unit tests and organizing CI/CD pipelines for Python code
- Good technical communication and collaboration skills; experience working in Agile teams
Preferred Qualifications - Experience writing financial models in Python
- Experience using Databricks or Palantir
- Experience with writing Spark code in Python or with other parallelization techniques and distributed computing frameworks
Top 3 skills - Expert at all aspects of Python development
- Data Science experience in developing scientific/financial models
- Experience with Palantir and/or Databricks
Responsibilities: As part of an integrated project team consisting of software engineers data scientists and computational engineers contribute to a diverse Python codebase that models Carbon Capture and Sequestration systems Take a lead role in organizing and applying software engineering standard...
Responsibilities: - As part of an integrated project team consisting of software engineers data scientists and computational engineers contribute to a diverse Python codebase that models Carbon Capture and Sequestration systems
- Take a lead role in organizing and applying software engineering standards to the existing modeling codebase re-writing it to make it more robust maintainable and extensible
Responsibilities - Work with the data scientists and computational engineers to understand the existing Python financial and scientific models refactoring prototype models into production-quality code
- Architect code changes to improve performance maintainability or extensibility as needed
- Work with the team to establish software engineering best practices including coding standards code reviews and other standard techniques
- Work with the data team to improve data interfaces between the models and the data layer
Skills and Qualifications - Bachelors degree in computer science engineering quantitative sciences or mathematics; alternatively significant practical software project experience
- 5 years of meaningful Python project experience with code complex enough to require modular or object-oriented Python code
- Proficient with pandas and numpy libraries; capable of optimizing performance of code that uses them
- Experience integrating testing frameworks (e.g. pytest) writing unit tests and organizing CI/CD pipelines for Python code
- Good technical communication and collaboration skills; experience working in Agile teams
Preferred Qualifications - Experience writing financial models in Python
- Experience using Databricks or Palantir
- Experience with writing Spark code in Python or with other parallelization techniques and distributed computing frameworks
Top 3 skills - Expert at all aspects of Python development
- Data Science experience in developing scientific/financial models
- Experience with Palantir and/or Databricks
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