Position Overview:We are seeking a Principal Data Scientist to architect and deploy machine learning systems that power real-time bidding, cross-channel budget allocation, incrementality measurement, and lifetime value optimization for Carter’s platform. You’ll mentor data scientists and data engineers, collaborate closely with product and engineering, and help shape Carter’s technical roadmap in the fast-evolving adtech landscape.Candidates with experience in high-frequency, high-volume environments in adtech are especially encouraged to apply.
Job Responsibilities:
- Design and deploy scalable ML models for real-time bidding, campaign pacing, budget allocation, and cross-channel optimization.
- Develop and implement frameworks for incrementality measurement, attribution, and customer lifetime value optimization using advanced causal inference and privacy-preserving techniques.
- Mentor and guide a team of data scientists and data engineers, fostering technical excellence and collaboration.
- Collaborate with engineering and product teams to translate business goals and advertiser KPIs into actionable data science solutions.
- Ensure robust model monitoring, validation, and performance tracking in high-throughput, low-latency production environments.
Basic Qualifications:
- 8+ years deploying machine learning models in high-volume adtech environments.
- Deep expertise in classification models, reinforcement learning, real-time prediction, distributed training, and causal inference.
- Proficient in Python, Scala, SQL, XGBoost and familiar with adtech protocols and privacy-preserving ML.
- Proven success mentoring data science teams and translating business needs into ML solutions.
- Excellent communicator across technical and non-technical teams.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
Report job
