Senior Data Scientist Client Analytics
Core
Senior Data Scientist building end-to-end machine learning models and pipelines for client marketing analytics and predictive insights.
Role type
Senior IC machine learning engineer (marketing analytics)
Builds
Production ML models (Churn, CLV, Propensity, Affinity) and data pipelines for the COSMOS Cognitive Marketing Intelligence Cloud Platform
Domain
Marketing technology, big data analytics, predictive modeling
Deliverable
production ML models
Required skills
Machine learning, deep learning, Python, Spark ML, statistical modeling, data mining, predictive analytics, big data processing, cloud infrastructure (Azure)
Preferred skills
Gen AI infrastructure (RAG, Langchain, agentic workflows), Java, PyTorch, TensorFlow, Keras
Technologies
Spark ML, Python, TensorFlow, PyTorch, Keras, Azure Data Factory, Hadoop, HDInsight, DataBricks, Hive, HDFS, Map-Reduce, Spring, Hibernate, 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 marketing ML models.
Seniority
Senior, hands-on IC