Jr. Data Scientist - (Canada-based)

<p><strong>About the job</strong></p> <p><em>Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing?</em></p> <p><em>With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, </em><strong><em>Artefact</em></strong><em> is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!</em></p> <p><strong>Who We Are</strong></p> <p>Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.</p> <p>We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.</p> <p>Find out more at <a href="https://www.artefact.com/">artefact.com</a>.</p> <p><strong>What you will be doing </strong></p> <p>In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:</p> <ul> <li data-start="196" data-end="317">Translate marketing and business challenges into analytical use cases, assess feasibility, and define clear hypotheses.</li> <li data-start="320" data-end="431">Develop statistical and machine learning models including regression, forecasting, classification, and clustering to identify performance drivers and predict business outcomes.</li> <li data-start="320" data-end="431">Build and maintain scalable data pipelines for data ingestion, transformation, and quality assurance across diverse marketing data sources.</li> <li data-start="320" data-end="431">Develop production ready modeling solutions including model training, deployment, monitoring, and ongoing refinement.&l