Full Stack Data Science Engineer: Drive Analytics and AI Solutions
TD Securities
About the role
About
Become a pivotal player in data-driven decision making as a Full Stack Data Science Engineer. Collaborate across teams to transform complex data into actionable insights using advanced analytics and AI / ML techniques.
In this role, you will leverage your expertise in data science and analytics to lead performance diagnostics and uncover growth opportunities. As a key contributor, you will design scalable analytics solutions, translate data into insights, and foster AI adoption within the organization. This position demands strong technical skills, including proficiency in Python and cloud services, combined with effective communication abilities to convey findings to stakeholders.
Harness your abilities in analytics and AI to lead initiatives that drive impactful business decisions and enhance customer experiences.
Responsibilities
- Lead performance diagnostics across multiple dimensions
- Develop and deliver scalable analytics assets
- Implement AI / ML tools for business problem-solving
- Create compelling data visualizations for diverse audiences
- Collaborate with cross-functional teams for analytics adoption
Requirements
- 5 years expertise in analytics or data science
- Strong experience with ML / AI models and cloud platforms
- Proficient in SQL, Python, and visualization tools
- Demonstrated ability to translate complex data into insights
- Strong relationship management and storytelling skills
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Requirements
- Strong experience with ML / AI models and cloud platforms
- Demonstrated ability to translate complex data into insights
- Strong relationship management and storytelling skills
Responsibilities
- Lead performance diagnostics across multiple dimensions
- Develop and deliver scalable analytics assets
- Implement AI / ML tools for business problem-solving
- Create compelling data visualizations for diverse audiences
- Collaborate with cross-functional teams for analytics adoption
Skills
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