Sr. Data Scientist to contribute to the development of a Generative AI-powered segmentation tool

Our valued client is looking for a Sr. Data Scientist to contribute to the development of a Generative AI-powered segmentation tool that leverages user-level engagement data to dynamically classify users for personalized content experiences.

Part-Time contract with possible extension

This position Hybrid (2-3 times per month) in the Greater Toronto Area.

Tasks include:

• Develop a robust framework for training and validating Generative AI models.
• Apply prompt engineering techniques to optimize GenAI outputs for segmentation accuracy, explainability, and alignment with business objectives.
• Assist with data verification and validation to ensure input quality and model reliability.
• Support the preparation, transformation, and enrichment of user-level engagement data and contribute to building a scalable data pipeline, ensuring meticulous attention to detail throughout the pipeline.
• Conduct technical audits and validate the model to improve robustness and statistical accuracy, demonstrating rigorous diligence in identifying and resolving issues.
• Analyze and audit proof-of-concept models and iterate on improvements based on performance and explainability.
• Contribute to the transformation of behavioral signals and content interaction data to better reflect real-world user behavior (e.g., recency effects, content fatigue, engagement decay).
• Identify and apply appropriate modeling techniques to meet segmentation and personalization objectives.
• Guide data engineering and feature selection, while identifying and addressing data constraints.
• Assist in communicating model outputs and rationale to non-technical stakeholders, including natural language explanations of GenAI decisions in a clear, business-friendly format

Must have:

• At least 5 years of experience practicing Data Science in an industry setting, ideally with exposure to digital media advertising or marketing analytics.
• Holds at least a Master’s degree in a STEM field (e.g., statistics, mathematics, computer science, economics, or a related discipline).
• Hands-on experience with Generative AI (GenAI) models in both development and production environments.
• Conceptual knowledge of Customer Data Platforms (CDPs) and Data Management Platforms (DMPs), with practical experience working with CDP/DMP data.
• Strong SQL and Python coding skills, with demonstrated experience applying agile development practices and collaborative coding standards to build and maintain scalable, well-structured codebases in a team environment.
• Experience using a variety of advanced analytics techniques or machine learning algorithms.