Data Scientist

Summary

Join Ascend Analytics' SmartBidder team as a Data Scientist and contribute to the development of optimization and management solutions for energy storage and renewable assets. You will be a key member of a collaborative team, working on cutting-edge software and analytics to support the clean-tech power revolution. This role requires strong software engineering skills to support mission-critical decision analytics for global renewable and battery storage power providers. You will prototype and enhance machine learning models, integrate data sources, and write clean, scalable code in Python. The position demands collaboration within the software and analyst teams, following an agile scrum process. Ascend Analytics offers a competitive salary, flexible work hours, and excellent benefits.

Requirements

• 2+ Years experience in a highly related role
• BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Operations Research, Statistics, Economics, or Power Systems (or related fields)
• Demonstrated academic or professional software coding experience in Python
• Experience performing independent research
• Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar)
• Strong interpersonal skills, teamwork skills, and work ethic
• Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.)

Responsibilities

• Prototype and experiment with novel machine learning models and mathematical 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 data sources, evaluate performance, automate, and generalize data science models within production software
• Design and write clean, scalable, production code in Python
• Refactor code for improved performance, stability, and scalability
• 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
• Contribute to technical design reviews, implementation strategies, operational system support, and sprint planning

Preferred Qualifications

• Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker
• Ability to communicate with impact and confidence, both orally and in writing
• Understanding of basic microeconomic principles
• Knowledge of wholesale electricity markets

Benefits

• Flexible work hours
• Medical, dental, vision
• Short- and long-term disability
• Parental leave
• Dependent care spending account
• 401k plan