Über
The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location.
The range to reasonably expect will be around the minimum and the midpoint .
The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. Bay Area Min: $ 126,000 Bay Area Mid: $ 163,000 Bay Area Max: $ 200,000 Job Responsibilities Understand and apply statistical and analytical modeling methods such as classification, regression, clustering, anomaly detection, neural networks, etc. to identify opportunities for improving transactional experiences Explore and integrate large and diverse datasets for actionable insights Apply Gen AI models to solve real business problems and discover insights with large unstructured datasets Implement and test algorithms and techniques relevant to achieve project objectives Use predictive modeling to increase and optimize customer experiences, targeted marketing and other business outcomes Develop and maintain production machine learning pipeline Automate data, machine learning, and Gen AI pipelines Analyze data for trends and patterns and interpret data with clear objectives in mind Understand and anticipate the needs of product/program, and channel team to create data models and insights that lead to improved customer experiences Develop expertise with customer demographic data, billing data, and other structured/unstructured data Appropriately document data sources, methodology, and model evaluation metrics Develop and present summary presentations for senior management Create streamlined visual tools for end-users whenever applicable Work with domain experts. Develop a working knowledge of various customer programs and services and channels of service delivery Qualifications Minimum: Bachelor’s degree in computer science, data science, statistics or job-related discipline or equivalent experience Job-related experience, 5 years, OR Masters Degree and job-related experience, 3 years, OR Doctorate Degree Experience with Python, SQL, Power BI Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks) Desired Graduate Degree in job-related discipline or equivalent experience Utility industry experience, 1-year Customer analytics, 1-year Experience with Teradata and Oracle Experience in applying Gen AI to solve business challenges Experience with Automate of machine learning, and Gen AI pipelines Ability to synthesize complex information into clear insights and translate those insights into decisions and actions Ability to clearly communicate complex technical details and insights into colleagues and stakeholders
Sprachkenntnisse
- English
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