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Data Scientist III

Date:  Jul 2, 2022
Job ID:  2905

Bothell, WA, US, 98011

Remote and Hybrid Work Opportunities:  Hybrid (WA Based)

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 IT Application Solutions team is looking for qualified candidates to fill an open Data Scientist III position!
Specific details regarding the work arrangements for this position will be discussed in further detail during the interview process.

Job Description

This position will help lead PSE’s data science program and contribute to the achievement of PSE’s Beyond Net Zero Carbon goal.  Level 3 Data Scientists will exercise independent judgement in selecting the methods and tools to solve a number of different types of problems facing utilities today. They will have extensive experience building, tuning, and managing the creation of production quality machine learning models. 


Data Scientists at this level will also help mentor Data Scientist I & II levels and other PSE employees working with models or tools developed by Data Scientists.


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 in-depth evaluation of variable factors.
  • Participate in data science mentoring efforts.
  • Provides leadership for cross-functional projects and enterprise data and analytics solutions.
  • Researches and experiments with new techniques, technology and methods to innovate and advance Data Science efforts at PSE (Innovation Lab).
  • Effectively communicates and collaborates across groups to provide insights to the organization, and to train other Data Scientists in improvements realized during Innovation Lab sessions.
  • Collaborates and contributes to data science standards and methodologies.
  • Collaborates and builds productive relationships with various internal and external departments to understand departmental issues and provides solutions to moderately complex problems.
  • Clarifies 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 presents 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.
  • Manages multiple end-to-end data science projects simultaneously.
  • Performs other duties as assigned.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, mathematics, statistics, economics, Data Science or other relevant quantitative field; or equivalent experience.
  • At least eight or more 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 language like Python, R etc. Experience in SQL and data manipulation techniques.
  • Expert level experience with Machine Learning, Data Science algorithm visualization.
  • Expert level understanding of Machine Learning techniques such as Regression, clustering, decision trees, random forests, NLP, etc.
  • Direct experience and full 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.
  • Expert innovation and new technology research and development skills.
  • 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 Azure or other cloud-based platforms.
  • Experience working with SAP ECC 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.
  • Working knowledge of SAP HANA database and HANA studio.

Additional Information

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.


At PSE we value and respect our employees and provide them opportunities to excel. We offer an expansive pay package that includes competitive compensation, annual goals-based incentive bonuses, comprehensive benefits, 401(K), a company paid retirement pension plan, and an employee assistance and wellness program.


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 or 425-462-3017.

Nearest Major Market: Seattle
Nearest Secondary Market: Bellevue