Data Scientist, Boulder, CO 

Ascend Analytics’ climate technology software and services provide critical insights to power the energy transition. The company’s products enhance critical power supply decisions from short-term operating strategies to long-term investment and resource planning. Ascend’s solutions serve as the core analytic infrastructure for electric utilities, independent power producers, electric retailers, and financiers of energy infrastructure. To learn more about Ascend, please visit us at www.ascendanalytics.com.  

Your Impact at Ascend Analytics

This position will be a key member supporting Ascend Analytics’ SmartBidder 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 software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe.

Job 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
• 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.

Required Qualifications

• 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.)

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

Compensation: $110,000-140,000

Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.

We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan. 

We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.  

Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected]