[Job 31517] Data Scientist SR
Core
Build real-time customer personalization and recommendation models to drive business outcomes via Next Best Action logic and event-based feature engineering.
Role type
Senior Machine Learning Engineer (Customer 360 / Recommendation)
Builds
Real-time classification, propensity, and event detection models; Next Best Action prioritization logic; production-ready feature stores.
Domain
Digital Product / Customer Intelligence / Real-time ML
Deliverable
production ML models
Required skills
Python (pandas, scikit-learn, PySpark), Supervised ML (classification, ranking, XGBoost, LightGBM), Real-time event processing (Kafka, Kinesis), Feature Store management (Feast, Tecton, Hopsworks), A/B Testing, Cloud data platforms (AWS/GCP: S3, BigQuery, Redshift, Glue, Dataflow)
Preferred skills
ML Streaming (Flink, Spark Structured Streaming), LLMs/GenAI for intent classification, Data pipeline orchestration (Airflow, Prefect), MLOps (MLflow, Vertex AI, SageMaker), Graph databases (Neo4j)
Responsibilities
Develop near-real-time classification and propensity models; Build and evolve Next Best Action logic; Engineer features from transactional events; Collaborate on architecture for segmentation signals; Design and analyze A/B experiments; Ensure model governance and drift monitoring.
Seniority
Senior, hands-on IC