Data Scientist

Posted 7 days ago

Details

Compensation

Not disclosed

Industry

Energy

Time commitment

Full time

Company size

Not disclosed

Skills

Data Science

AWS

Docker

Kubernetes

Job description

A fast-growing company that is leveraging the advancements in modern technology to help customers promptly transition to a greener energy economy, is looking for a Data Scientist. The selected candidate will be responsible for building pipelines for tools, testing, and observability to help improve data quality. The company has managed to successfully develop a proprietary trading platform that specializes in battery asset optimization for the wholesale electricity markets. This is a nice opportunity for developers who are eager to work with cutting-edge technologies while building a lucrative career for themselves.

Job Responsibilities:

Discover, consider, and use new technologies consistently to increase development effectiveness
Build comprehensive solutions for the business's executives' and customers' problems by working with them to identify their pain areas
Work with the data platform and applications team to ensure that the data science capabilities or algorithms are successfully incorporated into their products or work processes
Build tools for recurring data tasks that will speed up and automate the development cycle in collaboration with the development teams

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
At least 3+ years of relevant experience as a data scientist
Extensive Python production-level software development experience
Prior C++, Java, or Go knowledge is preferred
In-depth knowledge of data science and machine learning, including building, testing, and using models
Solid background working in a cloud environment with significant amounts of data
Proficient understanding of time series analysis and forecasting
Awareness of reinforcement learning
Strong background in traditional finance and trade
Nice to have some background in creating and implementing quantitative trading algorithms (more on the sales side than the purchase side)
Thorough understanding of swaps, futures, options, and basic contractual duties related to financial products
Extensive knowledge of operations research and optimization
Demonstrable Git, CI/CD, and general professional software development experience
Must be able to solve and complete complicated tasks as part of a team
In-depth knowledge of the power market
Prior experience working in the nexus of energy markets, data science, machine learning, and quantitative/algorithmic trading
Demonstrable experience and knowledge of AWS, Docker, and Kubernetes deployment
Excellent written and spoken English communication skills