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Tier-1 brand, mid-level ML role, metro Hyderabad, and broad skillset increase applicant competition.
Core ML skills are transferable, but subscription/retention domain experience raises fit sensitivity.
Requires 3+ years, production ML pipeline experience, PySpark and Python—tight technical filters.
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Build and deploy end-to-end machine learning models focused on customer retention, churn prediction, and lifetime value for Warner Bros. Discovery’s streaming products.
Conduct exploratory data analysis on large behavioral and subscription datasets to identify retention drivers and generate actionable insights.
Collaborate cross-functionally with Product, Design, Commerce, Content, and Marketing teams to translate business challenges into ML-driven retention solutions.
Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Quantitative field, or related discipline.
Minimum 3 years of experience building ML products with personalization capabilities.
Proficiency in SQL, Python (pandas), and PySpark on large distributed datasets.
Experience with statistical tests and classical ML algorithms including logistic regression, bagging, boosting, decision trees, and GBM models.
Experienced in applying ML to customer retention, churn modeling, and LTV within subscription or streaming digital products.
Skilled in developing scalable ML pipelines and production ML deployment at scale, demonstrating technical leadership on projects.
Practiced in bridging technical data science approaches with business decision-making and cross-functional stakeholder communication.