Data Scientist I

Job Description

The Commercial Analytics team is looking for an early career Data Scientist to help PSE prepare for the electric system of the future. The ideal candidate for this role enjoys working with data and transforming it to be used for math models, creating and maintaining information supply chains in support of Commercial Analytics initiatives and analyses. This is a great entry-level opportunity, with heavy emphasis on coding, data management, and ETL pipelines.

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

• Develops and maintains methods to retrieve, process, clean, and validate production-ready data for math models.
• Monitors and troubleshoots live data feeds for software applications through a rotational on-call requirement.
• Clarify business requests for assistance and document business requirements taking a broad perspective to identify solutions.
• Devise possible solutions and plan solution development.
• Participates in Data Management Community governance and proceedings. Participate in community proceedings, create and socialize Data Science standards and procedures.
• Data mining using state-of-the-art methods.
• Perform ad-hoc analysis and present results in a clear manner.
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• 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 one year experience in applying quantitative methods and building production quality machine learning models in a classroom, or laboratory setting.
• Undergraduate degrees in Data Science satisfy the one year experience requirement.
• Proficiency with Python or R.
• Strong working knowledge of SQL.
• Experience with visualization tools like Tableau or Power BI.
• Ability to synthesize large quantities of statistical data and complex analyses into actionable information.
• Ability to collaborate and participate in direct data science and data management projects and project teams.
• Familiar with all categories of security and regulated data and information.

Desired Qualifications

• Graduate degree in quantitative field.
• 2+ years experience writing clean code, working with version control, and unit testing.
• 1-2 years experience working with AWS, Azure, or other cloud-based platforms.
• Proficiency in ETL pipeline tasks, including scheduled data retrieval, processing, validation, and storing in databases.
• Basic understanding of web development or backend development (e.g., HTML, CSS, REST APIs, databases, server-side logic).
• 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.

Additional Information