Job Description
Typical Day in Role:
• Review customers’ conversations to validate chatbot’s performance and relevant trends
• Suggest and apply changes to conversational flows
• Triage and fix issues discovered through front and back-end testing
• Manage content in the content management system
• Ensure technical feasibility of suggested content changes and conversational flow designs
• Keep content documentation up-to-date
• Support data scientists with training-related tasks
• Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries
• Establishes standardized methods of recording, tracking and reporting on activity
• Ability to experiment with Generative AI
Candidate Requirements/Must-Have skills:
1. 5-7+ years of working experience as a Data Scientist
2. 1-2+ years of experience with Chatbots/AI training, and familiarity with Generative AI
3. 1-2+ years of hands-on experience with Google Cloud Platform
4. Familiarity with other Cloud platforms such as AWS, Azure, etc.
5. Previous coding experience with Python and SQL
6. Good understanding of Machine Learning and Natural Language Processing (NLP)
Nice-To-Have Skills:
• Previous contact center experience in financial institutions extremely preferred
• Dialogflow CX experience
Soft Skills:
• Excellent written, presentation, and verbal communication skills to be able to work well with technical peers and business stakeholders at different levels within the organization
• Attention to detail, critical thinking and pro-active aptitude to identify improvement opportunities
• Ability to work as part of a team, as well as work independently or with minimal direction
• Good time management and organizational skills to effectively manage high scale project
Education:
• Post-secondary degree in any STEM discipline or related field.
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