Data Scientist

Independent energy is here. Help us deploy it. Energy should be free. Free from aging grids, fragile supply chains, and unnecessary extraction. At Moment Energy, we’re building a world where clean power is abundant, affordable, and uninterrupted for everyone.

We are seeking an experienced and passionate Senior Data Scientist to join our growing team and play a critical role in shaping the future of energy storage. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract valuable insights from our diverse datasets and drive innovation across our operations. You will work closely with our engineers, product managers, and business development teams to optimize battery performance, develop predictive models, and support data-driven decision-making.

• Collect, clean, and analyze large datasets from various sources, including battery management systems, sensor networks, and external databases.
• Develop and apply machine learning algorithms and statistical models to predict battery performance, cell aging and degradation, optimize charging strategies, and identify potential failures.
• Contribute to battery data collection strategies for in‑field deployments and lab tests.
• Design and develop machine learning architecture and full data flow pipeline.
• Design and implement data visualization dashboards to communicate key insights and trends to stakeholders across the organization.
• Collaborate with engineers to develop data‑driven solutions for improving battery efficiency, safety, and lifespan.
• Conduct research on the latest advancements in data science and machine learning, particularly in the energy storage domain.
• Contribute to the development of Moment Energy's data infrastructure and analytics capabilities.
• Support data-driven decision-making across various departments, including product development, business development, and operations.

• Bachelor’s Degree or higher in Data Science, Computer Science, Statistics, or a related field.
• 7+ years of experience as a Data Scientist, with a proven track record of applying machine learning to solve real-world problems.
• Strong programming skills in Python, with experience in data manipulation, analysis, and visualization libraries.
• Proficiency in machine learning algorithms and frameworks (e.g., scikit‑learn, Tensor Flow, PyTorch).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to a non-technical audience.
• Passion for clean energy and a desire to contribute to a sustainable future.
• Be part of a mission-driven company focused on creating sustainable energy solutions and making a positive impact on the world.
• Collaborate closely with passionate co‑founders and a team committed to innovation and excellence.
• Contribute to building and scaling a company from the ground up, where your work will have a direct and meaningful impact.
• Thriving in a workplace that values collaboration, wellness, and celebrating successes, with regular company socials, fitness sessions, and more.

• Financial Growth:
  Employee equity and a robust RRSP matching program.
• Comprehensive Health Coverage:
  Extended health, dental, and vision benefits for you and your dependents through Manulife.
• Generous Time Off & Flexibility:
  Paid time off plus paid company closure between Christmas and New Year’s, with generous paid sick leave.
• Vibrant Culture & Perks:
  Open and collaborative office culture, frequent company socials and wellness programs (weekly yoga/fitness), and free EV charging on-site.
• Company Dinner:
  Weekly Tuesday dinner provided by Moment Energy. Generous supply of coffee and snacks for the office.

Moment Energy is an equal‑opportunity employer. We are committed to inclusive, barrier‑free recruitment and selection processes, including our work environment. We especially welcome applications from Indigenous peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2

SLGBTQ+.