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Tier‑1 brand, mid‑level ML role in metro with broad AI/marketing requirements increases applicant competition.
Requires strong ML and marketing analytics expertise, so skills are moderately transferable across industries.
Explicit 5+ years plus mandatory ML, cloud, Databricks and MLOps skills enforce strict screening filters.
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Lead development and deployment of advanced analytics, predictive modeling, and AI-powered marketing intelligence solutions across global marketing technology ecosystem.
Drive design, adoption, and operational excellence of LLM/Generative AI use cases and ML model governance within Martech, ensuring business impact and scalability.
Mentor data science team members and collaborate cross-functionally to build scalable pipelines, perform exploratory analysis, and deliver actionable insights influencing marketing and product strategies.
Bachelor's degree or equivalent combination of education and experience.
5+ years of experience in data science, machine learning, applied statistics, or advanced analytics.
Strong technical skills in Python, SQL, ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost), and experience with cloud platforms (AWS, Azure, GCP) and ML deployment tools (Databricks ML, MLflow).
Domain experience in customer, marketing, and digital analytics including segmentation, personalization, churn prediction, CLV, attribution, media measurement, and audience targeting.
Operates effectively in ambiguous, fast-evolving environments with ability to translate complex data into business impact and influence stakeholders.
Experienced in AI-native data science practices, model governance, experimentation frameworks, and integration of ML models into production at scale.
Skilled in mentoring, cross-team collaboration, and working with large-scale marketing technology ecosystems aligned with enterprise standards.