Data Scientist

At PGE, our work involves dreaming about, planning for, and realizing a smarter, cleaner, more enduring Oregon neighborhood. Its core to our DNA and we haven't stopped since we started in 1888. We energize lives, strengthen communities and drive advancements in energy that promote social, economic and environmental progress. We're always on the lookout for people passionate about leading and being a part of teams that are advancing innovative clean energy solutions that are also affordable and accessible to all.

Summary

The Advanced Energy Delivery Technology Solutions (AEDTS) team at Portland General Electric plays a crucial role in advancing our clean energy future through smart grid technology. We operate in two key areas:

1. Horizontal: Serving enterprise-wide needs with AWS Cloud Data Lake, API management, data science, applications, and data products.

2. Vertical: Supporting specific AED applications like the Outage Management System (OMS) and ARCOS Callout System.

This dual approach enables the team to drive PGE's goals of decarbonization, electrification, and operational efficiency across the organization while also maintaining critical systems for reliable service delivery.

Our team is seeking a highly motivated and talented Data Scientist to join our growing team. In this role, you will play a critical part in driving data-driven decisions across the organization. You will leverage your strong analytical and technical skills to extract meaningful insights from complex data sets, develop and deploy predictive models, and collaborate with cross-functional teams to solve challenging business problems.

Career Level Summary

Data Scientist 6969

Grade 7

Career Level: P3

Career Professional: Requires expanded professional-level knowledge and experience in own area; incumbents continue to acquire higher-level knowledge and skills

Expands on high-level knowledge of the company, processes and customers

Solves a range of more complex problems

Analyses possible solutions using advanced knowledge and applying protocols

Operates independently and receives only a moderate level of guidance and direction

Key Responsibilities

Data Collection & Preparation:

Participates/assists in identifying what data is available and relevant, including internal and external data sources; supports data collection, integration and retention requirements based on the input received; ensures information used follows PGE compliance, access management and control policies and meets PGE qualification and assurance requirements. Handle missing values, outliers and inconsistencies. Transform data with feature engineering, normalization and dimensionality reduction.

Data Analysis & Modeling:

Conduct exploratory data analysis (EDA): Identify trends, patterns, and relationships within the data.

Develop and implement statistical and machine learning models: Regression, classification, clustering, time series analysis, deep learning.

Evaluate model performance: Use appropriate metrics (accuracy, precision, recall, F1-score, AUC, etc.) and techniques (cross-validation, A/B testing).

Model Deployment & Monitoring:

Deploy models into production environments: Integrate models into existing systems or build new applications.

Monitor model performance over time: Track key metrics, identify and address issues (e.g., concept drift, data bias) towards business outcomes.

Maintain and update models: Retrain models with new data and improve their accuracy.

Communication & Collaboration:

Collaborate with stakeholders: Works with business stakeholders to identify the business requirements and expected outcomes. With business stakeholder support, models and frames meaningful and impactful business scenarios for critical business processes and/or decisions.

Collaborate with cross-functional teams: Work closely with engineers, product managers, and business analysts.

Communicate findings effectively: Present results to stakeholders (business leaders, engineers, etc.) through reports, presentations, and visualizations.

Stay updated on the latest advancements: Keep abreast of new technologies, tools, and techniques in the field of data science.

Qualifications

Education Requires a MSc or PhD in mathematics, statistics or computer science or related field, such as physics, economics or operations research.

Experience Typically, five or more years in data science or related field; prototyping and implementation experience preferred.

• Strong programming skills in languages such as Python and SQL

• Experience with machine learning algorithms and statistical modeling.

• Excellent problem-solving and analytical skills.

• Strong communication skills to present findings to both technical and non-technical audiences.

• Experience with cloud platforms (AWS) is preferred.

• Experience in electric Utility space is a plus.

• Experience working with Large Language Models (LLMs) is a plus.

Certifications, Licenses and Training Intermediate programming skills, including experience with Hadoop MapReduce or other big data frameworks, Java, Python, statistical modeling, SQL and text mining or machine learning. Knowledge of cloud AWS/GCP/Azure and automation framework preferred.

Competencies

Functional Competencies:

• Intermediate programming skills

• Intermediate data literacy

• Intermediate knowledge of business processes in at least one of the following business areas: Corporate, T&D, Generation and Operations

• Intermediate domain expertise in one or more of the following functional domains: Customer Service Operations, Transmission & Distribution, Power Generation, Finance, Supply Chain, HR, Cyber Security

• Intermediate ability to develop simple predictive models and represent the models using visualization mechanism

• Intermediate understanding and knowledge of technology and utility domains

General Competencies:

• Intermediate business acumen

• Intermediate interpersonal skills

• Intermediate written/oral communication skills

• Intermediate analytical thinking skills

• Intermediate decision-making skills

• Intermediate change leadership skills

• Intermediate presentation/facilitation skills

• Intermediate enterprise/business awareness skills

• Intermediate problem-solving skills

Physical, Schedule/Attendance and Cognitive Demands

Cognitive Level: Intermediate: Consistent use of relevant principles to solve practical problems and to deal with a variety of concrete variables in situations where only limited standardization exists.

Cognitive:

• Ability to adhere to set response times, deadlines and time-sensitive tasks.

• Ability to follow accuracy standards.

• Ability to follow through on decision-making tasks.

• Ability to interact effectively and collaboratively within a team environment.

• Ability to communicate and problem solve when under stress.

• Ability to respond and adapt to frequent change.

• Ability to accept and demonstrate self-awareness when provided constructive feedback.

• Ability to discern feedback and acknowledge ownership of areas of improvement.

• Ability to avoid future mistakes by applying reasonable skills to new but similar work situations or tasks.

• Ability to successfully collaborate with peers, managers and others within the organization.

• Demonstrates sound memory.

• Ability to process new information to be applied consistently to work tasks.

Schedule/Attendance:

• Ability to adhere to pre-established schedule, including start/stop time and break/lunch schedule [typically for nonexempt positions, although some exempt positions may have an established start/stop time]

• Ability to work long hours.

• Ability to work a variable schedule.

• Ability to report to work and perform work during periods of severe inclement weather.

• Ability to consistently meet attendance standards for regular, reliable, predictable, full-time attendance.

• Ability to work shift schedule.

• Ability to work on-call schedule.

Physical Capabilities:

• Driving/travel/commute: Daily within service territory - Frequently (at least once a week or more)

• Driving/travel/commute: Overnight inside/outside the service territory - Occasionally (one to two times a month or less)

• Computer use (use computer regularly for entire work shift)

• Lifting/pushing/pulling: Up to 10 lb

• Carrying: Up to 10 lb

• Unstable surfaces requiring balance (i.e., moving equipment, boats):

Stairs (over 10steps)

Environment:

Office

PGE supports hybrid flexible work arrangements; and will have a combination of in-the-office and working offsite. However, these arrangements may change due to business needs or changes in responsibility.

We are interested in every qualified candidate who is eligible to work in the United States to apply. However, we are not able to sponsor visas for this position.

Compensation Range:

Actual total compensation, including a performance based incentive bonus, is commensurate with experience, skills, qualifications, education, training, and internal equity. While we anticipate the selected candidate for this position will fall towards the middle or entry point of the compensation range, the decision will be made on a case-by-case basis.

PGE believes in rewarding dedicated performance. We provide a total rewards package that is designed to reward your contributions to the company, and, at the same time, support your well-being and professional development, both now and into the future. To find out more, click here.

Join us today and power your potential!

Assisting with storms or other Company emergencies is a part of all positions at Portland General Electric.

PGE is committed to diversity and inclusion in the workplace and is an equal opportunity employer. PGE will not discriminate against any employee or applicant for employment based on race, color, national origin, gender, gender identity, sexual orientation, age, religion, disability, protected veteran status, or other characteristics protected by law.

PGE does not discriminate on the basis of disability. We recognize individuals have a variety of abilities to offer and we believe there is much to value and celebrate by incorporating different abilities into the work we do. One very important way we live this out is in our application and interview process. We work hard to support individuals who may need an accommodation to fully participate in these processes. If you feel you may need an accommodation, or would like to request one, please notify the Talent Acquisition Specialist (Recruiter) associated with the job posting. You may also make this request by contacting talentacquisition@pgn.comor by calling 503-464-7250. The Recruiter will provide information and next steps for the accommodation process. Our Diversity, Equity & Inclusion (DEI) team is also available for support. You can contact them at dei@pgn.com.

To be considered for this position, please complete the following employment application by the posting close date. Posting closes at midnight (Pacific Time) on the closing date below. If no date is listed, job is open until filled.