Senior Data Scientist Client Analytics
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Job Description
Structured overview of role & requirementsAbout This Role
Analyze large-scale customer and transactional data to develop actionable marketing machine learning models such as Churn, CLV, Propensity, and Affinity.
Design, implement, and own end-to-end machine learning and deep learning solutions using technologies like Spark ML, Python, Tensorflow, and Azure cloud pipelines.
Collaborate directly with clients and cross-functional teams to extend platform capabilities and communicate data-driven insights impacting client business outcomes.
Minimum Requirements
6-10 years total IT experience with minimum 5 years in a data science role.
MS degree in Computer Science, Mathematics, Physics, or equivalent experience.
Strong programming skills in Python and experience with machine learning frameworks (Tensorflow, Keras, PyTorch).
Experience with big data technologies (Hadoop, Spark, Databricks), cloud platforms (Azure preferred), and machine learning in production environments.
Ideal Candidate Profile
Proven ability to deliver end-to-end predictive modeling solutions in marketing analytics or customer intelligence domains.
Experience working in distributed teams with client-facing responsibilities and cross-disciplinary collaboration.
Strong expertise in large-scale machine learning systems, data engineering pipelines, and cloud infrastructure integration specifically in Azure environment.