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.