Energy Analytics ML Engineer - Remote​/Hybrid

Machine Learning Engineer (Smart Bidder), Boulder, CO (Hybrid or Remote)

This position will be a key member supporting Ascend Analytics’ Smart Bidder team, which works on optimization and management of energy storage and renewable assets. You will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong data science skills will support mission critical decision analytics for renewable and battery storage power providers around the globe.

Our Mission @ Ascend

At Ascend Analytics, our mission centers on creating sustainable economic value for energy buyers and producers to transform the power industry. Our team combines advanced analytics, cloud-based technology, and deep market expertise to help our clients solve complex challenges across grid reliability, power market volatility, renewable integration, infrastructure development, and energy investment strategy. As a high-growth, private equity–backed company, Ascend continues to expand its market leadership while investing in innovation, talent, and scalable solutions for an increasingly dynamic energy market.

Your Impact @ Ascend

Real influence. Real outcomes. At every level.

• High-impact work. Shape the tools and decisions that drive the clean energy transition.
• Direct exposure. Work alongside executive leadership and key utility and corporate clients.
• Room to grow. A rapidly scaling SaaS business with real advancement opportunities.
• Collaborative culture. A team that values creative thought, inclusion, and work-life balance.

• 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.

• 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 researchincluding 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.

• Integrity:
  We act with honesty and uphold the highest ethical standards, doing the right thing even when it's difficult.
• Purpose Driven:
  We are united by a shared purpose — to deliver meaningful impact for our customers, our industry, and the…