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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Energy Supply Data Scientist (I&II) - **Company:** PacifiCorp - **Location:** Portland, OR, United States - **Experience:** Experienced - **Salary:** $77,200.0 - $122,100.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Business Intelligence Development, Big Data, C++ (Programming Language), Data Governance, Data Mining, R (Programming Language), Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), Machine Learning, MySQL, Cloud Services, Standard Sql, Azure Machine Learning, Management of Software Versions, Azure Data Factory, Git, Machine Learning Operations, Databricks - **Published:** September 5, 2026 - **Apply:** https://careers.pacificorp.com/talentcommunity/apply/1427049200/?locale=en_US ## About the Role Requirements of the Data Scientist I position include the following: * Bachelor's degree in Engineering, Analytics, Data Science, Math, Statistics, Physics or related field; or the equivalent combination of education and experience. * Knowledge of C, C++, Java, JavaScript, Python, R, SQL * Knowledge of platforms such as MapReduce, Hadoop, Hive, MySQL, etc * Proven ability to connect the dots from the data to the business solution * Proficient technical writing and public speaking skills * Strong problem-solving skills * Familiarity with machine learning techniques * Strong problem-solving skills. * Ability to work cross functionally and support multiple departments. * Knowledge of industry best practices for data science and data governance. In addition to the above, the Data Scientist II requirements include the following: * A minimum of 3 years of related professional experience. * Experience using C, C++, Java, JavaScript, Python, R, SQL * Experience using platforms such as MapReduce, Hadoop, Hive, MySQL, etc * Experience with business intelligence and data analytics tools such as Power BI and Tableau * Hands-on experience with MLOps practices, including CI/CD pipelines, model deployment, monitoring, and versioning. * Experience with cloud services and platforms like AWS, GCP, or Azure for deploying and managing ML models, specifically using Azure Databricks, Azure Machine Learning Studio, Azure Data Factory * Experience using Azure DevOps and Git for version control * Experience in story-telling through the use of data Preferences * Master's in data science or related technical field. * Understanding of generation dispatch, transmission, and organized wholesale markets * Understanding of business intelligence and data analytics tools such as Power BI and Tableau, Employees must be able to perform the essential functions of the position with or without an accommodation. ## Description PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging. General Purpose PacifiCorp serves 2.1 million customers across six western states and, as of May 1, 2026, became the first participant in the Extended Day-Ahead Market (EDAM) alongside the California ISO. Committing generation and scheduling transmission a day in advance across an optimized regional footprint produces operational and market data at a volume and granularity beyond what conventional analysis can support. This position exists to convert that data into better decisions about how PacifiCorp bids, commits its generation fleet, schedules transmission, and manages its position between the day-ahead and real-time markets. The incumbent provides technical support on complex and business-critical projects across Energy Supply Management, working with loads and weather, battery storage, renewable, and thermal generation performance, transmission availability and congestion, market prices, bids and settlements. The impact of the role is measured in the quality of decisions it improves: explaining and reducing deviations between day-ahead positions and real-time outcomes, strengthening load and generation forecasts, quantifying the cost of resource and transmission choices, and delivering production-grade analytics that generation operators, traders and planners rely on daily. Better information at these decision points lowers net power costs for customers, supports reliable operations, and substantiates PacifiCorp's positions in regulatory and market policy forums. This position is available at multiple levels. Applicants will be considered for the level that best matches their education and experience. Responsibilities Responsibilities of the Data Scientist I & II include the following: * Create data mining models to identify and mine data from reliable internal and external sources. * Develop and apply custom data models and algorithms to large data sets. * Design tools and testing models to ensure data accuracy. * Perform statistical reporting and create data analysis methodologies to identify trends in large data sets. * Collaborate with grid operations, finance and regulatory teams to analyze problems, identify issues, innovate and deliver solutions consistent with schedules established and improve business outcomes. * Provide technical expertise across business to support functions such as load forecast, energy day ahead trading. * Research and apply emerging data science techniques to develop tools and analysis for informed business decisions in Energy Supply Management. * Create and present reports with detailed findings, recommendations and solutions. * Glean insights from the data to inform and improve market participation, near- and long-term resource planning, energy trading strategies. * Gather, document and manage business use cases and business requirements. * Support data literacy and scripting knowledge development across the team. * Participate in government, industry and other applicable associations or work groups which have the ability to influence or set policy impacting the future of our utility. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)