Senior Data Scientist Client Analytics

What you'll do

• Perform hands-on analysis of large volumes of web analytics, transaction, customer data, second and third-party data
• Work with complex data structures, manipulate and cleanse data, perform statistical analysis
• Design and implement machine learning models using Spark ML, Python, Map-Reduce, Hive, HDFS, Spring, Hibernate, and Java
• Design and implement deep neural network models using Tensorflow, Pytorch, Keras, and Python
• Create engaging and meaningful data visualizations linked to clear client business impact
• Develop machine learning pipelines with big data design principles in MS Azure cloud using Azure Data Factory
• Own end-to-end implementations of multiple marketing machine learning models such as Churn, CLV, Propensity, Affinity models
• Work with Gen AI infrastructure using RAG, Langchain, and agentic workflows (plus)
• Collaborate with distributed teams including delivery management, business analysts, visual designers, analytics, developers, and QA
• Work directly with clients to own data science solutions as part of the COSMOS Cognitive Marketing Intelligence Cloud Platform team
• Extend platform functionality when not supporting client projects

Requirements

• 6-10 years of total IT experience with 5+ years in a data science role
• Strong machine learning and deep learning background
• Proficient in Python, Spark MLLib, Tensorflow, Keras, ML algorithms and Deep Neural Networks
• Experience with large scale distributed databases and computing systems like Hadoop, HDInsight or DataBricks
• Experience working with cloud infrastructure services like Azure and AWS (Azure preferred)
• Experience working with code repositories and continuous integration tools like Git and Jenkins
• MS in Computer Science, Math, Physics, or equivalent education/professional experience
• Excellent communication and interpersonal skills
• Strong passion for understanding key business problems and mining data for insights

Tech stack

Benefits