Remote Principal Data Scientist - Carter

Description:

• Carter is rethinking adtech infrastructure with a privacy-first, AI-powered platform that transforms commerce media.
• The platform enables sophisticated audience management, seamless campaign execution, and advanced monetization while prioritizing data security and privacy.
• The Principal Data Scientist will architect and deploy machine learning systems for real-time bidding, cross-channel budget allocation, incrementality measurement, and lifetime value optimization.
• Responsibilities include designing and deploying scalable ML models, developing frameworks for incrementality measurement, mentoring data scientists and engineers, collaborating with product and engineering teams, and ensuring robust model monitoring and performance tracking.

Requirements:

• Candidates must have 8+ years of experience deploying machine learning models in high-volume adtech environments.
• Deep expertise in classification models, reinforcement learning, real-time prediction, distributed training, and causal inference is required.
• Proficiency in Python, Scala, SQL, XGBoost, and familiarity with adtech protocols and privacy-preserving ML is necessary.
• Proven success in mentoring data science teams and translating business needs into machine learning solutions is essential.
• Excellent communication skills across technical and non-technical teams are required.

Benefits:

• The position offers a competitive salary along with a strong healthcare insurance and benefits package.
• The role is ideally hybrid, with 2 days per week spent in the Toronto office, but remote applications from across North America are accepted.
• Carter provides extensive learning and development resources to support employee growth.
• The company is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment.