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Senior Data Scientist, Personalization and Loyalty (Generative AI & Causal ML)

torentify • United State
Relocation
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Seeking a Senior Data Scientist to advance Generative AI and causal machine learning capabilities for customer personalization and loyalty. Responsibilities include developing scalable data science solutions from research to production, integrating LLMs, and applying causal inference methods. Requires 3+ years of data science experience, proficiency in Python/SQL/Git, and hands-on Generative AI application experience.

Key Highlights
Develop and deploy Generative AI solutions (LLM fine-tuning, RAG, agents) and causal ML models.
Lead data science projects from research to production, ensuring scalability and reliability.
Collaborate with product managers and stakeholders to define science product roadmaps.
Key Responsibilities
Design, develop, and deploy Generative AI solutions, including LLM fine-tuning, prompt engineering, RAG pipelines, and agentic workflows, and integrate them into existing science and measurement processes.
Lead data science projects from research and experimentation through production, ensuring solutions are scalable, reliable, reproducible, and maintainable.
Work with product managers and cross-functional stakeholders to define science product priorities, roadmaps, and long-term direction for personalization and loyalty.
Help develop a unified science framework by connecting existing capabilities into a more consistent and scalable approach.
Apply causal machine learning and econometric methods, including CATE, difference-in-differences (DiD), matching, and panel methods, to support experimentation, measurement, and personalization.
Build and maintain production machine learning and experimentation pipelines using CI/CD, version control, testing, documentation, and other software engineering best practices.
Evaluate emerging AI and machine learning technologies and identify approaches that can be applied effectively in production.
Share technical knowledge with colleagues, provide informal mentorship, and contribute technical guidance as the team grows.
Explain technical findings and methodologies to both technical and non-technical audiences, including business stakeholders and leadership.
Technical Skills Required
Python SQL Generative AI
Nice to Have
Experience with MLOps practices, including workflow orchestration, model monitoring, reproducibility, and deployment.
Experience in retail, consumer packaged goods (CPG), media, or marketplace analytics.
Experience mentoring or coaching colleagues on technical best practices.
Familiarity with experimentation frameworks and measurement pipelines.

Job Description

ABOUT THE COMPANY

The Personalization and Loyalty team focuses on making the company a preferred destination for customers. Its work centers on delivering relevant value at the right time, strengthening customer relationships, and building loyalty through data-driven insights. The team uses statistical science, causal inference, and AI to design experiments, measure business impact, and improve customer outcomes.

ABOUT THE ROLE

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