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Known global brand and metro location create moderate applicant competition for senior ML roles.
Role requires advanced ML and marketing analytics experience, making industry-specific background moderately important.
Explicit 10+ years, management, and mandatory ML/DL plus cloud/big-data skills enforce high strictness.
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Manage and guide a team of Data Scientists in delivering machine learning and deep learning projects focused on marketing analytics such as churn, CLV, propensity, and affinity models.
Own end-to-end implementation and deployment of machine learning pipelines using technologies like Spark ML, Python, TensorFlow/PyTorch/Keras, and Azure Data Factory in a cloud environment.
Collaborate with cross-functional teams and clients to translate data insights into actionable marketing intelligence solutions on the COSMOS Cognitive Marketing Intelligence Cloud Platform.
10-12 years total professional experience with at least 5 years managing and leading data science teams.
MS degree in Computer Science, Math, Physics, or equivalent professional experience is required.
Proficiency in Python and experience with machine learning frameworks (TensorFlow, PyTorch, Keras) and big data tools (Spark ML, HDFS, Databricks).
Experience building end-to-end ML pipelines in cloud platforms, preferably MS Azure, and working knowledge of code repositories/CI tools like Git and Jenkins.
Experienced leader comfortable managing distributed teams and delivering client-facing data science solutions in marketing analytics domains.
Strong technical expertise in both machine learning/deep learning model development and big data pipeline implementation.
Able to bridge between technical and business teams to drive strategic application of predictive analytics to marketing problems.