Data Scientist, Digital Advertisement/Marketing - Global Ad Technology Supervisory Department (GATD)
Core
Data Scientist driving end-to-end initiatives for ad delivery optimization, including hypothesis formulation, modeling, online deployment, and continuous improvement for Rakuten's ad serving platform.
Role type
Senior IC data scientist (ad tech)
Builds
Ad delivery optimization models, price optimization, CTR/CVR and value prediction, and creative optimization for Rakuten's RUNA platform.
Domain
Digital advertising, ad technology, large-scale data processing
Deliverable
production ML models
Required skills
Machine learning (regression, classification, tree-based methods, simple neural networks), statistics and causal inference, experimental design (A/B testing, bandits), feature engineering, data preprocessing, production MLOps, Python, SQL, large-scale data processing (Spark, BigQuery)
Preferred skills
Price optimization methods (Bayesian optimization, multi-armed bandits, reinforcement learning), creative optimization (multivariate testing, generative AI), streaming/real-time processing (Kafka, Flink, Beam), MLOps practices (feature stores, model registries, CI/CD), cloud environments (GCP, AWS, Azure)
Technologies
Python, SQL, Pandas, NumPy, scikit-learn, Spark, BigQuery, GCP (GKE, Dataflow, Cloud Pub/Sub), Aerospike, Terraform, Ansible, Go, Kafka, Flink, Beam, Docker, Kubernetes
Responsibilities
Define problems for ad delivery optimization and design KPIs/metrics; preprocess data and build models for price, CTR/CVR, and creative optimization; design and execute online experiments (A/B tests, bandits); manage production operations including pipeline building, monitoring, drift detection, and model updates.
Seniority
Senior, hands-on IC
