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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
Senior Data Scientist
Oakland, CA$126K - $200K / yearPosted 1 weeks ago
Full-timehybridsenior