kWantera is looking for an Energy Data Scientist to extend our quant energy trading platform . Our ideal candidate will have extensive hands-on experience in developing mathematical algorithms and a broad knowledge of statistics, machine learning, optimization, and financial math . Strong communication skills and commercial decision-making abilities will round out the ideal candidate's profile.
The Data Scientist will be an integral part of our energy analytics team, therefore, responsible for:
- Developing and testing electricity and natural gas price forecasting algorithms using large datasets such as load, weather, historical, grid, forward markets etc.
- Developing and testing arbitrage algorithms using our proprietary energy market models, our price forecasts, and customers' energy portfolio.
Close collaboration with our Sales team as well as direct customer contact when needed to establish performance goals and communicate trending against goals
Verbalizing decision-making process to internal and external stakeholders
Identifying and implementing commercially scalable processes
- Working in collaboration with the software engineering team in deploying the developed models tailored to specific customer needs.
- Participating in the software development process, testing, and debugging required to support the deployed models.
> Strong programming background in Python, with experience in numpy , scipy , scikit -learn and pandas preferred.
> Knowledge of large-scale software development including strong background in OOP, and knowledge of Git, SVN or other version control software.
> Experience working with large databases to access, manipulate and process data. Knowledge of MongoDB or other nosql database implementations.
> MS degree or PhD (preferred) in Mathematics, Physics, Engineering, Computer Science or other quantitative discipline .
> Minimum of 2-5 years of work experience in quantitative modeling. Academic work can be accepted in lieu of job experience on a case-by-case basis.
> Candidate must be a team player with strong sense of accountability and desire to continuously learn
Our ideal candidate will be excited to work in the energy commodity industry (i.e., buy, sell, and manage). We offer competitive compensation commensurate with experience, education, and references.
All your information will be kept confidential according to EEO guidelines.
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