Machine Learning Engineer (SmartBidder)

Ascend Analytics is a company focused on creating sustainable economic value for energy buyers and producers. They are seeking a Machine Learning Engineer to support the SmartBidder team in optimizing energy storage and renewable assets through advanced analytics and software solutions.

Responsibilities:

• Prototype and experiment with novel machine learning models and mathematical/statistical algorithms for short term energy market forecasting
• Optimize and enhance computational efficiency of algorithms and software design
• Work with our team of analysts to integrate new features, evaluate performance, automate, and generalize data science models within production software
• Design and write clean, scalable, production code in Python
• Implement systems for collecting, storing, and working with data at scale
• Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders
• This position involves working collaboratively both within your software team and outside with the analyst team
• The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning

Requirements:

• 2+ Years experience in a highly related role
• BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Signal Processing, Operations Research, Statistics, Economics, or Power Systems (or related fields)
• Experience performing independent research including reading academic papers, developing and testing hypotheses, and analyzing experimental results
• Demonstrated academic or professional software coding experience in Python
• Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar)
• Strong interpersonal skills, a collaborative team-first mindset and results-oriented work ethic
• Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.)
• Ability to communicate with impact and confidence, effectively conveying ideas and influencing outcomes, both orally and in writing
• Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker
• Understanding of basic microeconomic principles
• Knowledge of wholesale electricity markets