Story Behind the Need:
The Global AI & ML team is part of the Customers Insight & Analytics division. They are responsible for delivering AI and ML solutions across the Bank. The Data Scientist will be an integral part of maintaining the performance of the Chatbot. They will work with a team of Data Scientists, Data Engineers, and Product Owners to evaluate customer interactions with the Chatbot in order to measure the efficacy of the AI and augment training data where needed.
Candidate Value Proposition:
The successful candidate will have the opportunity to work within Scotiabank. We are technology partners who help the business transform how our employees around the world work. You will get to work with and learn from diverse industry leaders, who have hailed from top technology.
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
Best vs. Average Candidate:
• The ideal candidate is someone who has hands-on experience with Chatbots or trained any AI models. They should have expertise in GCP in Dialogflow CX. In terms of soft skills, the candidate should proactively come up with idea and solutions.
Education:
• Post-secondary degree in any STEM discipline or related field.
Candidate Review & Selection
• 1st round MS Teams video interview – Hiring Manager (45 minutes)
o Take home assignment/Coding assessment for Python
• 2nd round MS Teams video interview – Panel with Senior Data Scientists (1 hour)
o Review assignment and candidate should be prepared to speak to technical skills in resume
• Potential 3rd round interview – Director + Team Members
o Cultural fit and discuss work experience
Job 70663
Data Scientist - 3 • Toronto, ON, Canada (Hybrid)
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