Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- Lead Data Scientist working with clients’ technical teams to enhance AI and analytics capabilities. Empowering internal teams through data pipelines, dashboards, and actionable KPIs.
Responsibilities
- Partner closely with our clients' executive and technical teams to guide decisions relating to AI, analytics, data engineering and data in general
- Proactively identify and champion projects that solve complex problems across multiple domains
- Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to clients' businesses
- Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes
- Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Requirements
- BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
- 3-7 years of commercial experience as a data science lead solving high impact business problems, including 1+ years leading and maintaining high performance data science teams
- Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
- Experience building data pipelines and driving ETL design decisions
- Experience delivering business impact through analysis and data products
- Technical leadership and management experience
- Experience creating data product strategies, shipping data products, iterating after launch
- Strong ability to prioritize and communicate to technical and non-technical audiences alike
- Working knowledge of Snowflake
- Devops experience a plus
Benefits
- Competitive compensation
- Work on cool projects based on your interests and skills
- Accountability and NOT micro-management
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