Senior Data Scientist

Responsibilities

• Lead the design and development of scientifically rigorous analytics solutions leveraging Power Factors' extensive operational data
• Collaborate closely with software development teams, product management, and technically sophisticated customers to translate real-world operational challenges into robust analytical solutions
• Identify, evaluate, and prioritize high-impact advanced analytics opportunities focused on BESS performance, health, and revenue optimization
• Lead the development of advanced data science solutions from concept through production deployment
• Engage directly with technically sophisticated customers to explain analytical methods, assumptions, and results with clarity and precision
• Serve as an internal BESS subject matter expert, supporting product, sales, and customer success teams with domain guidance
• Stay current with advances in battery science, electrochemical modeling, grid storage economics, and ML for energy systems

• 5+ years of experience in the energy industry, with a strong emphasis on utility-scale battery energy storage systems
• Deep, hands‑on understanding of BESS operation, performance, state‑of‑charge and state‑of‑health estimation, thermal management, degradation mechanisms, and lifecycle management
• Demonstrated experience working with large-scale operational BESS datasets, including BMS telemetry, SCADA, event logs, cycle data, and high-frequency time series
• Proven experience developing analytical solutions used by asset owners, operators, integrators, or OEM‑adjacent organizations to support operational and strategic decision‑making
• Proficiency in Python and modern data science libraries (pandas, Num Py, scikit‑learn, Tensor Flow / PyTorch, etc.)
• Strong grounding in statistics, machine learning, and applied AI, with demonstrated real‑world deployment experience
• Experience with time‑series analysis, signal processing, anomaly detection, forecasting, and predictive modeling in industrial or electrochemical contexts
• Experience with version control (Git) and collaborative software development practices
• Ability to clearly communicate complex analytical concepts, assumptions, and results to both technical and non‑technical stakeholders
• Experience working closely with software engineering teams in production environments (APIs, services, deployment pipelines)
• Proven ability to translate operational challenges and customer needs into analytically sound and implementable solutions
• High degree of autonomy and ownership in complex, technically ambiguous problem spaces
• Strong scientific rigor, intellectual curiosity, and attention to detail
• Comfort working on long‑horizon, technically demanding problems where analytical quality and robustness are critical

Demonstrates expertise in Battery Energy Storage Systems (BESS) operations, advanced analytics, and data science methodologies, with a strong ability to communicate complex concepts to diverse stakeholders. Proven track record in developing analytical solutions that drive operational and strategic decision‑making in the energy sector.

• BMS Telemetry
• SCADA
• Version Control (Git)
• APIs
• Deployment Pipelines