Senior Data Scientist Client Analytics
Core
Senior Data Scientist building end-to-end marketing machine learning models and pipelines for a Customer Data Platform (CDP) to deliver personalized activation at scale for clients.
Role type
Senior IC machine-learning engineer (marketing)
Builds
Production ML models (Churn, CLV, Propensity, Affinity) and data pipelines on Azure
Domain
Marketing technology / Customer Data Platform
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Python, Spark ML, TensorFlow, PyTorch, Keras, Statistical modeling, Big data processing, Cloud infrastructure (Azure)
Preferred skills
Gen AI infrastructure (RAG, Langchain, agentic workflows), Java, Spring, Hibernate, Map-Reduce, Hive, HDFS
Technologies
Azure Data Factory, Hadoop, HDInsight, DataBricks, Git, Jenkins
Responsibilities
Perform hands-on analysis of large volumes of web analytics, transaction, and customer data; Design and implement Machine learning models using Spark ML and Python; Create engaging data visualizations linked to client business impact; Develop machine learning pipelines with big data design principles in MS Azure cloud; Own end-to-end implementations of multiple Marketing machine learning models.
Seniority
Senior, hands-on IC
