Sr Applied Data Scientist - 1:1 Personalization, Audience and Experimentation (applied ML, PyToch, A/B testing)
Core
Design, build, and deploy advanced machine learning models for one-to-one personalization, recommendation systems, and experimentation at scale.
Role type
Senior Applied Data Scientist (Personalization & Experimentation)
Builds
Production ML models for 1:1 personalization, ranking, and customer propensity
Domain
Retail / Digital Marketing / Applied Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, Scikit-learn, A/B testing, causal inference, reinforcement learning, NLP, deep learning, Spark, Databricks, Snowflake, GCP Vertex AI
Preferred skills
Real-time systems, online learning, large-scale data platforms
Responsibilities
Design and optimize ML models for personalization and recommendation; Develop testing frameworks for A/B and multi-armed bandits; Collaborate with product and engineering to define strategy; Ensure models are production-ready and scalable; Evaluate new ML/AI advances for personalization use cases
Seniority
Senior, hands-on IC
