Florida Power & Light Company is looking to leverage analytics to detect and prevent revenue loss, thereby impacting company profitability.
Requirements
- High-level proficiency in R/Python for data wrangling, feature engineering, and model development
- Strong skills in SQL, Excel, R ggplot, and other visualization tools
- Hands-on experience with Amazon Web Services (AWS)
- Experience conducting quantitative and qualitative research to support business initiatives
- use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”)
Responsibilities
- Transform complex datasets from multiple sources into actionable insights that drive business decisions.
- Develop and deploy machine learning algorithms to identify revenue loss conditions using smart meter data, usage patterns, and customer characteristics.
- Design and operationalize analytical models in production environments, ensuring scalability and reliability.
- Other ad-hoc analysis to improve business processes.
- Develops machine learning, optimization and other modeling solutions
- Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
- Works with big data and distributed computing platforms
Other
- Eagerness to learn about electrical systems, metering infrastructure, and utility operations
- Bachelor's Degree
- 0+ years experience
- Master's Degree
- Employee Group: Exempt
