The primary function of the Data Science Engineer is to provide expertise in developing solutions and models for operations forecasting in the Markets Coordination Department. The Markets Coordination department directly supports Dispatch Operations in real time operations and forecasting. The Markets Coordination department provides critical information such as day-ahead load and renewable information and forecasts that influence the operating plan. The data science function will develop performance metrics and improvement strategies including but not limited to developing or enhancing models and assisting the team in evaluating potential solutions. Responsibilities:
Identifying, creating, and preparing data required for analysis and visualization
Assuring that data is cleansed, mapped, transformed, and optimized for storage and use according to business and technical requirements
Automating tasks and deploying production standard code
Loading transformed data into storage and reporting structures such as data warehouses, real-time reporting systems and analytics applications
Building data models and an understanding of learning algorithms
Required Technical Skills:
Minimum 5 years of relevant experience; 7+ years of relevant experience preferred
Experience in data engineering
Experience building and optimizing 'big data' data pipelines, architectures, and data sets
Knowledge of SQL and Python/PySpark
Open mindset, ability to quickly adapt to new technologies and learn new practices
Optional Skills:
Knowledge of Oracle PL/SQL, Java is a plus
Performance/security-oriented data modeling and data design, including partitions, different type of indexes, views, and most effective data management practices
Azure Synapse Analytics, Azure DevOps
Knowledge of Purview, Snowflake, Qlik, or Tableau is a plus
Education & Certifications:
Bachelor’s Degree in Data Engineering, Data Science or Computer Engineering