Senior Data Scientist
Core
Design and implement scalable machine learning systems for advanced recommender systems, predictive modeling, and performance analytics to drive hyper-personalized in-store retail experiences.
Role type
Senior IC machine learning engineer (recommender systems & production)
Builds
Production-ready ML systems, optimized recommendation engines, and predictive analytics pipelines for retail.
Domain
Retail / Machine Learning / Deep Learning
Deliverable
production ML models
Required skills
Python, deep neural networks, supervised/unsupervised learning, predictive analysis, forecasting, data pipeline construction, edge computing optimization
Preferred skills
retail analytics, consumer segmentations, personalisation systems, campaign effectiveness, media measurement, recommender systems, behavioural AI
Technologies
Apache Spark, Kafka, Airflow, dbt
Responsibilities
Design and implement scalable ML for complex data analysis and predictive modeling; translate ML advances into production-ready systems from MVP to deployment; optimize models for inference in edge computing environments.
Seniority
Senior, hands-on IC