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Tier-1 brand, mid-level ML role, metro location, and broad skills create high competition.
Specialized ML, marketing analytics, and production deployment skills limit cross-industry transferability.
Mandatory 5+ years plus ML, cloud, and production deployment requirements enforce high strictness.
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Develop and deploy advanced machine learning models and AI-powered marketing intelligence solutions to enhance membership intelligence, audience targeting, and campaign effectiveness.
Lead design and implementation of LLM and Generative AI use cases ensuring scalability, security, and measurable business outcomes within Marketing Technology.
Collaborate with cross-functional teams to build scalable data science pipelines, establish best practices for model governance, and mentor junior data scientists.
Bachelor’s degree in a related field or equivalent combination of education, experience, and training.
5+ years of experience in data science, machine learning, applied statistics, or advanced analytics.
Strong proficiency in Python, SQL, ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost), and experience deploying ML models in production using cloud platforms (AWS, Azure, or GCP).
Experience in customer, marketing, and digital analytics domains including segmentation, personalization, churn prediction, and customer lifetime value.
Experienced in designing and operationalizing AI-native data science practices with a strong emphasis on responsible AI and model governance.
Comfortable working in ambiguous, complex environments collaborating cross-functionally with engineering, product, and analytics teams to drive strategic, scalable AI solutions.
Demonstrated ability to lead technical innovation in marketing technology, mentor peers, and influence business stakeholders through data-driven insights.