Senior Data Scientist, Growth Alliance
Core
Designing and scaling AI agents using contextual bandits to optimize communication channels (email, SMS, push) and personalize post-click landing page journeys for HelloFresh customers.
Role type
Senior IC machine-learning engineer (contextual bandits, reinforcement learning)
Builds
Production decisioning systems for user communication and funnel optimization
Domain
Direct-to-consumer food subscription, personalization, marketing technology
Deliverable
production ML models
Required skills
Python, reinforcement learning, contextual bandits, experimentation design, causal inference, classical machine learning, customer behavior data analysis
Preferred skills
off-policy evaluation, propensity methods, sequential testing (SPRT), streaming/low-latency inference, unstructured data embeddings
Technologies
Databricks, Spark, MLflow, Thompson Sampling, Counterfactual Risk Minimization, Offset Trees
Responsibilities
Build and iterate RL/ML models for high-traffic conversion flows; Develop decisioning logic for user actions across the messaging lifecycle; Drive architectural evolution of contextual-bandit systems; Partner with Engineering on system design and latency handling; Own experimentation design and metric definition; Monitor model performance, data drift, and latency in production
Seniority
Senior, hands-on IC