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Senior, niche ML/DL manager skills at a known brand in a metro create medium competition.
Core ML/DL skills are transferable but marketing CDP domain knowledge raises sensitivity to medium.
Explicit 10-12 years, 5+ years managing, required MS degree and mandatory ML stack enforce high strictness.
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Lead and manage data science teams focusing on machine learning and deep learning project delivery, including end-to-end implementation of marketing ML models such as Churn, CLV, Propensity, and Affinity.
Design and guide development of machine learning models and deep neural networks using Spark ML, Python, TensorFlow, PyTorch, Keras, and Big Data technologies within MS Azure cloud environment.
Collaborate closely with clients and cross-functional teams to own data science solutions for the COSMOS Cognitive Marketing Intelligence Cloud Platform and extend platform functionality.
10-12 years total experience with at least 5 years managing and leading data science teams in relevant domains.
MS degree in Computer Science, Math, Physics, or equivalent education/professional experience.
Strong expertise in machine learning, deep learning (including TensorFlow, Keras, PyTorch), Spark ML, Python programming, and Big Data tools like HDFS, Azure Data Factory, DataBricks.
Experience with code repositories and continuous integration tools such as Git and Jenkins.
Experienced leader with demonstrated capability to deliver end-to-end predictive analytics and machine learning solutions addressing key business problems in marketing analytics.
Technically proficient hands-on manager comfortable with advanced ML/DL frameworks, big data pipelines, and cloud-based implementation in MS Azure.
Strong communicator able to collaborate with distributed cross-functional teams and interact directly with clients to translate data insights into actionable business outcomes.