Senior Data Scientist, Power Factors

• You are a senior-level data scientist and recognized BESS subject matter expert with substantial experience working with utility-scale battery energy storage systems. You possess deep understanding of battery electrochemistry, BMS data, system-level operations, performance drivers, degradation mechanisms, and grid service delivery — and you have applied advanced analytics to these challenges in real operational environments
• You are highly proficient in Python, statistical modeling, machine learning, and AI, with a track record of interpretable, physics-informed, and operationally robust approaches. You are comfortable working with real-world high-frequency industrial time series and understand how analytical assumptions translate into operational and commercial decisions
• You work effectively with software engineers and are comfortable contributing to production-quality code, reviewing model implementations, and discussing tradeoffs related to scalability, latency, and maintainability
• You are motivated by solving hard, real-world problems in energy storage using advanced analytics and by seeing your work deployed at scale across large, diverse BESS fleets
• 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, NumPy, scikit-learn, TensorFlow / 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

Desirable

• As a Senior Data Scientist – BESS, you will lead the design and development of scientifically rigorous analytics solutions leveraging Power Factors' extensive operational data, covering more than 300 GW of renewable energy assets — including one of the world's largest battery energy storage datasets
• This role is centered on deep BESS domain expertise, advanced statistical and machine learning methods, and large-scale operational data. You will work hands-on in Python and modern AI frameworks to develop production-grade analytical models that address complex problems in battery performance, state-of-health estimation, degradation forecasting, dispatch optimization, and asset lifecycle management
• You will collaborate closely with software development teams, product management, and technically sophisticated customers to translate real-world operational challenges into robust analytical solutions integrated into Power Factors' core platform. Your work will directly inform product capabilities used by leading BESS asset owners and operators globally
• This position offers the opportunity to apply advanced analytics at unprecedented scale to materially improve the performance and economics of battery energy storage assets worldwide
• Advanced Analytics and Product Development
• 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
• Leverage Power Factors' large-scale operational BESS database to build analytically rigorous, scalable models used across global storage fleets
• Collaborate with product and engineering teams to ensure analytical solutions are robust, interpretable, and operationally actionable
• Apply deep BESS domain knowledge to define analytically sound problem formulations, feature engineering strategies, and model validation approaches
• 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
• Propose and lead experiments to improve model quality, expand analytical coverage, and deliver new product capabilities
• Contribute to the external scientific and technical community through publications, conference presentations, or open-source contributions where appropriate