
Data Scientist
3 weeks ago
Dawn InfoTek Inc. is a professional IT consulting team that partners with major financial institutions, investment firms and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting all levels of IT positions for our clients.
We are currently seeking competent individuals to fulfill the role of Data Scientist to join our dynamic team for our client, one of the major banks.
**Typical Day in Role**:
- Review customers’ conversations to validate chatbot’s performance and relevant trends
- 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
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
**Job Type**: Fixed term contract
**Salary**: $40.00-$50.00 per hour
Schedule:
- Monday to Friday
**Experience**:
- Chatbots: 2 years (required)
- Generative AI: 2 years (required)
- Google Cloud Platform: 2 years (required)
- AWS, Azure: 2 years (required)
- Python and SQL: 2 years (required)
- Machine Learning and Natural Language Processing: 2 years (required)
Work Location: Hybrid remote in Toronto, ON M5H 1H1
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