Job description

ABOUT POWER FACTORS Power Factors is a leading software and solutions provider supporting the next generation of clean energy through Unity, one of the most comprehensive and widely deployed Renewable Energy Management Suites (REMS) in the market. The company manages more than 300 GW of wind, solar, and energy storage assets globally, serving over 600 customers and 18,000 sites. Power Factors' Unity REMS suite spans the full energy value chain — from supervision and control through advanced analytics and market analysis. Through open, data-driven applications, the platform enables renewable energy organizations to automate critical processes, integrate complex operational data, and make high-confidence decisions to optimize asset performance and lifecycle value. Drawing on deep domain expertise, Power Factors deploys advanced analytics and AI at scale to enable asset owners and operators to improve reliability, availability, and long-term value as the global energy system transitions to clean energy. Power Factors fights climate change with code. For more information: powerfactors.com ABOUT THE POSITION 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. ABOUT YOU 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. REQUIRED QUALIFICATIONS Industry Experience and BESS Expertise • 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 Technical Skills • 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 Collaboration and Communication • 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 Approach and Mindset • 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 QUALIFICATIONS CONSIDERED AS ASSETS • Ph.D. or master's degree in electrochemical engineering, physics, applied mathematics, statistics, computer science, or a related quantitative field • Specialized experience in BESS-specific analytics such as: ◦ Electrochemical model-based or data-driven SoH and RUL estimation ◦ Degradation and calendar/cycle life modeling ◦ Dispatch optimization and revenue stack modeling ◦ Augmentation strategy and capacity fade forecasting ◦ Thermal runaway risk modeling or fault detection • Experience with real-time or near-real-time analytics pipelines • Hands-on experience with data engineering concepts, cloud platforms (AWS, Azure, or GCP), and scalable data pipelines • Knowledge of power markets, capacity markets, ancillary services, PPAs, or grid interconnection as they relate to BESS assets • Experience with MLOps practices and large-scale model deployment • Scientific publications, patents, or technical conference presentations in battery analytics, applied machine learning, or related fields RESPONSIBILITIES 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 Domain Expertise and Customer Engagement • 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 Research and Innovation • 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 LIFE @ POWER FACTORS We are an agile software development company – big enough to make an impact, but small enough to move quickly and execute in a growing industry. We are a team of bold and ingenious talents driven by results. We are passionate about making the world a better place. We seek fierce and humble people to help us achieve our ambitious plan. WHY JOIN US By joining the Power Factors team, you’ll be part of a dynamic group of innovative and driven individuals dedicated to making a positive impact. Every day, your work will directly contribute to advancing clean energy solutions and supporting global sustainability initiatives. Our culture runs deep and shows up in how we work together - committed, conscientious and collaborative. With many opportunities for professional growth, Power Factors is here to support your development as we lead the charge in transforming the energy industry. WE ARE AN EQUAL OPPORTUNITY EMPLOYER Power Factors is an Equal Opportunity Employer committed to engaging a diverse workforce and sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Requirements

Must-haves

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.
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.
Industry Experience and BESS Expertise
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
Technical Skills
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
Collaboration and Communication
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
Approach and Mindset
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
Ph.D. or master's degree in electrochemical engineering, physics, applied mathematics, statistics, computer science, or a related quantitative field
Specialized experience in BESS-specific analytics such as:
Electrochemical model-based or data-driven SoH and RUL estimation

Nice-to-haves

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Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonawsazuregcpmlagile

Platform: workable
Effort: medium

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