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Data Scientist

Industry: Finance
Remote
Company size: 11-50
Full-time/Part-time

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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

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