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Puget Sound Energy, Inc Data Scientist II in Clyde Hill, Washington

Puget Sound Energy is looking to grow our community with top talented individuals like you! With our rapidly growing, award winning energy efficiency programs, our pathway to an exciting and innovative future is now. PSE'sCustomer Operationsteam is looking for qualified candidates to fill anopenData Scientist IIposition! Specific details regarding the work arrangements for this position will be discussed in further detail during the interview process. Job Description The level II position is designed for experienced professionals who possess a comprehensive understanding of their respective business or organizational domains. These individuals independently conduct intricate statistical and machine learning analyses on extensive datasets, commonly referred to as Big Data. Their primary objective is to generate statistical, predictive, and prescriptive insights that can benefit the organization. In this role, Data Scientists leverage their expertise and knowledge to carefully select appropriate datasets and employ suitable analytical methods. They utilize these techniques to develop Machine Learning Models and Statistical Analyses that effectively address various business challenges. The models they create are of high quality and can be implemented in production environments. Moreover, these models offer innovative solutions that can be utilized by other departments or customers to enhance operational efficiency through accurate forecasting and strategic planning. Data Scientists at this level are recognized for their analytical creativity and understanding of advanced data science techniques and strategies such as Regression, clustering, decision trees, random forests, NLP, etc. Upholds the safety compliance standards inherent in PSE's operating and/or field procedures related to work responsibilities. Promotes and supports a culture of total safety. Demonstrates commitment to conduct business honestly, ethically and consistent with our core values and Code of Conduct. Ensures duties are performed in accordance with all regulatory compliance obligations. Job Responsibilities Develop production quality complex analytics and machine learning models where analysis of data requires the evaluation of a multitude of factors. Participate in data science mentoring efforts. Provides leadership for cross-functional projects and enterprise data and analytics solutions. Effectively communicates and collaborates across groups to provide insights to the organization. Collaborates and contributes to data science standards and methodologies. Collaborates and builds productive relationships with various internal and externa departments to understand departmental issues and provides solutions to moderately complex problems. Clarify business requests for assistance and document business requirements taking a broad perspective to identify solutions. Devise possible solutions and plan solution development. Enhance data collection procedures to include information that is relevant for building user solutions by processing, cleansing, and verifying the integrity of data used for analysis. Carries out data mining using state-of-the-art methods. Performs ad-hoc analysis and presenting results in a clear manner. Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Manages multiple large scale, end-to-end data science projects simultaneously. Optimize joint development efforts through appropriate database use and project design. Performs other duties as assigned. Minimum Qualifications Bachelor's degree in Computer Science, mathematics, statistics, economics, finance, Data Science or other relevant quantitative field; or equivalent experience At least three years of experience leading Data Science projects. Experience with prioritizing multiple small Data Science i

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