Data Scientist

Data ScientistPearlX Infrastructure LLC | Location: Hybrid Philadelphia, PA | Full-timeAbout PearlXFounded in 2019, PearlX builds, owns, operates flexible infrastructure. For our energy customers, PearlX's portfolio enables resilience and independence. For our infrastructure investors, PearlX eases capital formation and enables the energy transition. The Company's mission is to generate long-life current yield for its partners and shareholders. We believe that mission is achieved by selling the most flexible electron with the highest energy margins.At PearlX, we believe climate change is a leading threat to economic and social stability. The Company also believes that the mitigation of climate change represents a unique and generational wealth creation event. To harvest the opportunity, PearlX pursues 4 key objectives:Build infrastructure that enables the energy transitionEase capital formation for decarbonizationEnable energy resilienc and independenceAccelerate retirement of hydrocarbon generation and emissionsPearlX is led by a world-class team of industry-leading veterans in the energy infrastructure and technology business. Our track record is among the finest in the sector and the Company is looking to bring on talented team members who are hardworking, passionate, and committed our mission. PearlX Technology StackBattery software for Virtual Power Plants (VPPs) has become mainstream. Now that these software vendors have demonstrated that batteries installed in people's homes and at commercial and industrial complexes can replace natural gas power plants, the next phase of software will enable investors and utilities to become completely comfortable relying on vestors and utilities need software to provide real time monitoring and fault tolerance capabilities for VPPs. Hardware and software that power workplaces, homes, schools, and hospitals needs to be rock solid.This software is complex and thus must encompass the following:Orchestrate a large number of components: Virtual Bidders, Portfolio Optimizers, Energy Management Systems, Market Forecasting, and Real Estate Management SystemsBack-test the output from those components to ensure optimal performancePerform AB testing to validate assumptionsModel connectivity and transmission issues in a geographically distributed multi-nodal networkServerless based architecture for cost optimization & enable horizontal scalabilityWe believe that this software will unlock investor interest in the short term, and a developer ecosystem in the long term.Building the monitoring and fault tolerance layer lets us work with our component vendors to normalize their APIs, building an OS for Virtual Power Plants. That allows interoperability, extensions, and new innovations without our involvement. Imagine a virtual power plant that is aware of a critical data center job, saving enough energy to provide adequate compute. PearlX's mission is to develope a truly scalable distributed application intelligent middleware platform.The technology team consists of members that bring together technology a vast experience in the smart grid, predictive analytics, and machine learning; utilizing MLOps and DevOps principles to drive business insights to help innovate in a traditional engineering industry.Duties & ResponsibilitiesDevelop forecast models for distributed energy resources (including solar PV, energy efficiency, demand response, EVs, storage, etc.) including energy market forecastsDevelop strategies for dispatching DER assets to capture market revenues Integrate with APIs of data providers and market schedulers to coordinate and bid assets into the marketEffectively communicate technical concepts to internal stakeholders (including business development, engineering, and technology) regarding forecast methodology and analysis and ensure our deliverables meet their needsStay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use, electricity markets and technologies and programs impacting that use, such as energy efficiency and demand responseSupport development of new data workflows and pipelines for managing energy dataSupport the deployment of machine learning models incorporating MLOps best-practicesQualificationsMinimum of Bachelor's degree in statistics, mathematics, engineering, or related quantitatively rigorous field Experience with forecasting distributed energy resources (e.g., PV, EV, energy efficiency, demand response, load etc.)Knowledge of econometric or statistical forecasting and linear programming Knowledge of wholesale electricity marketsKnowledge of electric grid operations, electricity markets and Investor-Owned Utility preferredExpertise in statistical programming software such as Python or R and experience working with cloud platforms such as AWS, experience with AWS SageMaker preferredExperience in SQLAdvanced Excel skills a plus. BonusPrevious exposure to the financial and securities domainPrevious startup experience would be a huge plusExperience working in full-stack teamsBenefitsCompetitive salary in a fast-paced, start-up companyFun, fast-paced, start-up environmentU.S. Citizens, Green Card holders, and those authorized to work in the U.S. for any employer will be considered.

Created: 2024-11-02