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Senior / Principal Data Scientist
LinkedIn Recruiter Post
Senior / Principal Data Scientist role focused on building and scaling GenAI and Agentic AI systems in production. Location: Toronto (Hybrid). Compensation up to $200K - 225k base.
About the role
- Principal Data Scientist on the Innovation team at Power Factors developing data solutions for renewable energy. Driving product development using extensive operational database of renewable assets.
Responsibilities
- Identify, evaluate, and prioritize innovative opportunities to create new revenue streams for Power Factors
- Lead the development of novel data science solutions from concept through prototype, leveraging Power Factors' extensive operational database of 200+ GW of renewable assets
Requirements
- 12+ years of experience in the renewable energy industry, with a proven track record at established consultants, energy asset owners, or asset operators
- Deep understanding of solar, wind, and battery storage asset operations, performance characteristics, and development / operational challenges
- Demonstrated experience working with large-scale operational datasets from renewable energy assets
- Demonstrated experience building prototypes and products used by energy asset owners, developers and operators to impact business decisions
- Advanced proficiency in Python and modern data science libraries (pandas, scikit-learn, TensorFlow/PyTorch, etc.)
- Strong command of statistical analysis, machine learning, and AI techniques with practical application experience
- Hands-on experience with data engineering concepts and cloud platforms (AWS, Azure, or GCP)
- Proven ability to take concepts from ideation through prototype to production-ready solutions
- Experience with version control (Git) and collaborative software development practices
- Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders
- Experience collaborating closely with software engineering teams and speaking their language (APIs, microservices, deployment pipelines, etc.)
- Track record of translating customer needs and business opportunities into technical solutions
- Self-motivated with demonstrated ability to identify opportunities and drive initiatives independently
- Entrepreneurial mindset with experience in innovation or new product development
- Comfort with ambiguity and ability to navigate unstructured problem spaces
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