Vacancy caducado!
- Work with subject matter experts and researchers, build robust research and production pipeline for data and modeling process
- Ensure product quality
- Process automation
- Communicate across multiple partner teams on project planning and delivery
- Quantitative model implementation and deployment
- Degree in computer science, statistics, machine learning, applied mathematics, operation research or other quantitative disciplines; graduate degree and research experience are preferred
- Minimum 2 years of professional experience in a software engineering or machine learning operations team
- Working experience in at least one software engineering language (C/Java/Go) and one data science language (Python/R/MATLAB/Julia)
- Working experience with Unix-like operating system and shell scripting
- Experience with SQL/NoSQL database, large datasets; experience with unstructured data is a plus
- Able to communicate and collaborate effectively in a diverse team environment
- Demonstrated ability to learn and adapt
- Passionate about sustainability issues and asset management industry
- Experience in climate science, energy system modeling, climate policy or energy policy is a plus
- Experience with financial and economic research and quantitative modeling is a plus
- Experience with statistics, machine learning, deep learning and NLP is a plus
- Experience with cloud platform and Cloud Native technology is a plus
Vacancy caducado!