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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's Planning team is looking for qualified candidates to fill an open Data Scientist II - Gas System Integrity position! Specific details regarding the work arrangements for this position will be discussed in further detail during the interview process. Job Description Puget Sound Energy’s Gas System Integrity (GSI) team is seeking a Data Scientist II to transform complex data into actionable insights that enhance the safety and reliability of our natural gas system. The GSI team manages over 26,000 miles of pipeline serving more than 880,000 customers. As a mission-critical group, we ensure the integrity of our infrastructure and deliver 100% reliability and safety. Over time, PSE has developed strategic models to identify and prioritize areas requiring the greatest attention. To advance these efforts, we have created a new role focused on analyzing large datasets, developing predictive models, and building tools that improve risk assessment, planning, and maintenance optimization. This position will support key initiatives such as risk modeling, asset management, and integrated system planning—ensuring our system remains safe, reliable, and efficient in a time of decarbonization. The ideal candidate will work independently on highly complex analytics projects, leveraging data from multiple sources (e.g., SAP BI, SAP HANA, ESRI, Excel, physical records) and applying advanced statistical and machine learning techniques to uncover insights and solve business challenges. Responsibilities include selecting appropriate data and methodologies, developing production-ready models, and delivering scalable solutions that forecast risks, enhance planning, and inform decision-making across the organization. Collaboration with subject matter experts is essential, requiring strong communication skills to translate technical findings into clear, actionable insights. The role also involves validating models against real-world conditions and creating intuitive visualizations to support business decisions. Successful candidates will demonstrate analytical creativity and expertise in advanced data science techniques, including regression, clustering, decision trees, random forests, and natural language processing (NLP). Expected to uphold 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 initiatives. • Experience with creating project overviews and effort estimates. • SQL and NOSQL experience. • Experience with mentoring data scientists and business users. • Experience building, tuning, and managing the creation of machine learning models for business applications including data cleansing, ordering and tagging (data wrangling). • Solid experience with data scripting languages such as Python, and R. Experience in SQL and data manipulation techniques. • Experience with Machine Learning, Data Science algorithm visualization. • Solid understanding of Machine Learning techniques such as Regression, clustering, decision trees, random forests, NLP, etc. • Functional knowledge of cloud platforms such as AWS. • Ability to present findings in the data in a clear and concise manner, using visualization (e.g. creating dashboards) and narrative formats. • Strong organizational and multitasking skills with ability to balance competing priorities. • Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners. Desired Qualifications • Graduate degree in quantitative field • Experience with working with AWS, Azure or other cloud-based platforms. • Experience working with SAP data. • Natural curiosity and desire to learn, a passion for solving real world problems. • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. • Experience working with SAP HANA database and using HANA studio. Additional Information At PSE we value and respect our employees and provide them opportunities to excel. We offer a competitive compensation and rewards package. The pay range for this position is $114,300.00 - $201,000.00, and this position is eligible for annual goals based incentive bonuses. PSE offers a suite of benefits to our employees. Employees are eligible for medical, dental, vision, basic life, and short- and long-term disability insurance. There are additional voluntary options of supplemental life insurance, accidental death and dismemberment insurance, flexible spending accounts for health care and dependent daycare, and an Employee assistance program (EAP). For long term savings, PSE offers a 401(k) investment option and a cash balance retirement plan. Employees will also receive Paid Time Off (PTO) and Paid Holidays throughout the calendar year. Detailed benefit overviews can be found on our Career page - Why Work For Us (pse.com). Families and businesses depend on PSE to provide the energy they need to pursue their dreams. Our steadfast commitment to serving Washington communities with safe, dependable and efficient energy started in 1873. Today we're building the Northwest's energy future through efforts like our award winning energy efficiency programs and our leadership in renewable energy. Puget Sound Energy is committed to providing equal employment opportunity to all qualified applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, sexual orientation, gender identity, marital status, veteran status or presence of a disability that with or without reasonable accommodation does not prevent performance of the essential functions of the job, or any other category prohibited by local, state or federal law. Should you have a disability that requires assistance and/or reasonable accommodation with the job application process, please contact the Human Resources Staffing department at [email protected] or 425-462-3017. job perk: Posted At: 19 hours ago, job perk: Schedule Type: Full-time, job perk: Health Insurance: True, job perk: Paid Time Off: True, job perk: Dental Coverage: True