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National Grid Lead Quantitative Analyst, Data Science in Waltham, Massachusetts

About us Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry. To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business. National Grid is hiring a Lead Quantitative Analyst for our Waltham, MA location. ## Job Purpose The LeadQuantitativeAnalyst in the Advanced Analytics & Forecasting team part of the Electric Transformation organization will conduct complexquantitativeanalyses and develop advancedquantitativemodels with a focus on the electric load forecasting applications. This role helps to enable the business stakeholders to achieve the company’s strategic priorities that include reliability improvement, regulatory compliance, clean energy goals, operational efficiency, and customer affordability. ## Key Accountabilities + Collaborating with the business stakeholders, Data Engineers, Software Engineers & the Project Manager to develop, maintain and enhance electricity usage, load, and customer growth forecasting at the feeder level including the potential impacts of distributed energy resources using any and all appropriate modeling methods/techniques. + Organizing and prioritizing work based on the business value and the impact it creates. + Developing quantitative methods, analyses, and tools that support predictive analytics for asset management, asset optimization, and market changes on the electricity portfolios. + Planning, design, execute and deliver solutions using an agile iterative approach + Creating high-level and detailed models, such as simulation/optimization models, and commodity, asset, and market quantitative models, and other advanced analytical systems to support the strategic initiatives that transform the energy utility industry. + Analyzing key themes from a wide range of internal and external data sources, including the use of modeling tools, and select relevant information to identify how key themes and market trends may impact the business. + Translating functional policy into processes and procedures that drive greater efficiencies for National Grid and ensure compliance with regulations relevant to existing electricity portfolios and proposed transactions. + Promoting and implementing procedural best practices to ensure all working practices (and where relevant, health and safety standards) are compliant with National Grid policies and regulatory requirements. + Ensuring projects are delivered according to the release plan, schedule, fit-for-purpose, and within budget. + Developing and maintain effective relationships with key stakeholders to share technical advice, best practices and to understand and challenge business decisions when appropriate. ## Supervisory/Interpersonal- Experience Required ## Qualifications + Master's degree in Engineering, Mathematics, Applied Computer Science, Applied Management Science or Operations Research with 6 plus years of experience in advanced quantitative analysis and modeling. Additional expertise in relational databases (Oracle, SQLite); NoSQL databases (DynamoDB, MongoDB, Cassandra), SQL, and state-of-the-art programming languages (Python, etc.) + Strong expertise in Power Engineering with more focus on transmission and distribution + Exceptionally strong advanced analytical, problem engineering and problem-solving capabilities as well as the ability to design, create and work with highly advanced and sophisticated computer models and tools in any/all of the following areas: - Modeling of time series, assets (contracts, physical entities), networks (power), and business processes and strategies using many different modeling methodologies, e.g. theoretical/empirical, deterministic/stochastic, fitted/self-adaptive, and multi-scale/hierarchical. - Simulation of high-dimensional stochastic time series, sequenced events and constrained network flow, massive agent-based simulation framework. - Optimization of all types (linear, integer, quadratic, nonlinear, combinatorial, etc.) with particular emphasis on extremely large, multi-level, multi-stage, multi-objective stochastic problems. - Artificial Intelligence & Machine Learning: supervised learning and unsupervised learning methodologies, Deep Learning + Demonstrated ability to bring creative and innovative analytical, modeling and risk analysis approaches to the business. + Excellent oral and written communication and presentation skills as listed below: - Highly motivated, exhibiting an exceptional work ethic, and have the ability to work effectively independently, as part of a team, and as a project lead. - Very good communication skills to coordinate their effort with stakeholders and other members of the team to provide concise, well-supported recommendations on key projects. ## + Willing to challenge existing ways of working and continuously seek ways to do things better to drive greater accuracies, efficiencies, and effectiveness. - Identifies several likely causes or consequences of a situation, bringing creative problem solving and innovative operational approaches to the business, - Consorts with multiple stakeholders, asking probing questions and challenging initial responses from different sources, - Establishes a high level of confidence with various management personnel and external contacts by adapting approach and considering what is important to the audience, tailoring style accordingly. - Actively partner with Energy Research Institutes, National laboratories, and Universities for the opportunity to work on relevant projects that are potential to bring value to the company - Promotes team effectiveness by soliciting input from team members, communicating expectations of the team, and delegating responsibilities while providing support and structure Preferred : + Ph.D. Degree in Engineering + Demonstrated experience with GridLAB-D, an open-source distribution simulation and analysis modeling software to develop power distribution system model integrating distributed energy resources. + Knowledge of C++ programming language. + Demonstrated experience with Cloud computing (e.g., Azure, AWS) ## More Information This position is one of National Grid’s career path roles which provide for promotional opportunities within and across salary bands as you develop and evolve in the position by gaining experience, expertise and acquiring and applying technical skills. National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.