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Job Title


Principal Data Scientist - Carter


Company : Medium


Location : Toronto, Ontario


Created : 2026-01-31


Job Type : Full Time


Job Description

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, weve been helping Fortune 500 companies unlock growth with cuttingedge digital solutions that transform industries and create measurable business impact. Were growing fast and were looking for passionate problemsolvers who are ready to turn big ideas into real outcomes. About Carter Carter is rethinking adtech infrastructure from the ground up with a privacyfirst, AIpowered platform transforming commerce media. Our platform enables sophisticated audience management, seamless campaign execution, and advanced monetizationwhile keeping data security and privacy at the core. We empower our partners to turn every customer interaction into a revenuegenerating opportunity, leveraging AI, firstparty data, and seamless integrations across the entire retail media ecosystem. The Opportunity We are seeking an accomplished Principal Data Scientist to play a pivotal role in architecting, deploying, and scaling nextgeneration machine learning systems that fuel Carters platform. In this role, youll help solve some of the most challenging problems in adtech, including realtime bidding, crosschannel budget allocation, incremental lift measurement, attribution modeling, and customer lifetime value optimization. As a senior technical leader, you will not only design highimpact solutions but also mentor a team of data scientists and engineers, guide technical decisionmaking, and collaborate closely with product and engineering to influence Carters longterm roadmap. This role offers the opportunity to shape the technical foundation of a fastgrowing, highfrequency, highvolume platform at the cutting edge of AI and privacypreserving advertising. What Youll Be Doing Machine Learning Innovation : Design, develop, and deploy scalable ML models for realtime bidding, campaign pacing, budget allocation, and crosschannel optimization in highthroughput, lowlatency environments. Causal Inference & Measurement : Develop robust frameworks for incrementality measurement, attribution modeling, and customer lifetime value (CLV) leveraging advanced statistical methods, causal inference, and privacypreserving ML techniques. Leadership & Mentorship : Serve as a technical mentor and thought leader, guiding data scientists and data engineers to deliver highquality, productionready solutions and fostering a culture of technical excellence and experimentation. CrossFunctional Collaboration : Partner with product managers, engineers, and business stakeholders to translate advertiser goals and KPIs into actionable data science solutions that directly drive business impact. Scalable Systems Engineering : Work with engineering teams to ensure models are robustly monitored, validated, and optimized for performance, resilience, and fairness in live production systems. Research & Roadmap Influence : Stay ahead of emerging trends in adtech, reinforcement learning, causal modeling, and privacyfirst AI , and play a central role in shaping Carters data science and AI strategy. What You Bring 8+ years of experience deploying machine learning models at scale in highfrequency, highvolume environments , ideally within the adtech ecosystem. Deep expertise in classification models, reinforcement learning, realtime prediction, distributed training systems, and causal inference techniques. Strong programming skills in Python, Scala, and SQL ; experience with ML frameworks and libraries such as XGBoost, PyTorch, or TensorFlow. Familiarity with adtech protocols (RTB, attribution, identity resolution) and experience with privacypreserving machine learning (federated learning, differential privacy, secure multiparty computation). Proven track record of leading and mentoring data science teams , fostering innovation, and delivering solutions that balance technical complexity with business needs. Excellent communication and storytelling skills with the ability to influence stakeholders across technical and nontechnical teams. Why Youll Love Working at ShyftLabs At ShyftLabs, your work matters. Were a growing data product company making a big impact with Fortune 500 clients and as we scale, youll have the chance to shape solutions, influence strategy, and grow your career alongside us. Heres what you can expect when you join our team: -Hybrid Flexibility: Enjoy a hybrid model with 3 days inoffice and 2 days remote. -Downtown Toronto Office: Work in the heart of the city. -Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no outofpocket costs. -Growth & Learning: Access extensive learning and development resources to keep leveling up your skills. Inclusion at ShyftLabs Were building something big, and we want you on the journey with us. If youre ready to use data and innovation to make an impact, apply today and lets grow together. ShyftLabs is an equalopportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and well be happy to support you. #J-18808-Ljbffr