Lead Data Scientist
RBC•Toronto, ON
•Onsite
About The Position
Avion Rewards is seeking a Lead Data Scientist to spearhead AI initiatives. This role involves applying AI, machine learning, and data science techniques to develop and deploy models and scalable data products that generate business value. The Lead Data Scientist will be responsible for the entire lifecycle of data science solutions, from understanding business needs to building and deploying production-ready models.
Requirements
- 5–8+ years of experience in applied data science.
- Strong understanding of machine learning algorithms and techniques.
- Hands-on experience implementing solutions using machine learning.
- Advanced proficiency in Python.
- Strong SQL skills.
- Experience using Cloud-based machine learning (ML) platforms (SageMaker).
- Excellent communication and stakeholder management skills.
- Ability to think strategically and translate business goals into model objectives.
Nice To Haves
- Familiarity with Snowflake or similar cloud data warehouses.
- Experience in a financial services, loyalty, or e-commerce environment.
- Experience with Agile development methodologies.
- Knowledge of data visualization tools, such as Tableau or Power BI.
- Familiar with JIRA, Confluence, Agile/Scrum development methodology.
- Background in personalization or marketing analytics is a plus.
- Familiarity with GIT (GitHub).
- Master's degree in Computer Science, Statistics, Mathematics, or related field.
Responsibilities
- Create data science solutions, from understanding business needs, to building and deploying production-ready models.
- Collaborate with business stakeholders to gather requirements and define use cases for personalization, targeting, and more.
- Translate business problems into data science solutions with clear metrics and impact.
- Design, build, and validate ML models to drive personalization across digital channels.
- Develop, test, and deploy models using AWS, SageMaker, S3, Snowflake, and Python.
- Work closely with data engineers and analysts to build reusable data pipelines and data products in Snowflake.
- Document models, experiments, and business logic clearly for technical and non-technical audiences.
- Own projects end-to-end: from ideation through delivery, measurement, and iteration.
- Communicate complex technical concepts to non-technical stakeholders.
Benefits
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
