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Mid-level ML role at a well-known global brand in Hyderabad with generalist ML requirements increases competition.
Core ML and data skills are transferable across industries, though streaming/subscription domain knowledge is preferred.
Explicit 3+ years and mandatory SQL, Python, PySpark, and production ML experience raise shortlisting strictness.
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Build, deploy, and maintain machine learning models focused on customer retention, churn prediction, and lifetime value (LTV) to improve engagement and revenue for Warner Bros. Discovery's streaming products.
Conduct exploratory data analysis to identify behavioral drivers impacting retention and translate findings into actionable insights for cross-functional teams.
Collaborate with Product, Design, Commerce, Content, and Marketing teams to design scalable ML-driven solutions and advocate ML best practices across the organization.
Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Quant, or related field.
Minimum 3 years of experience building machine learning and personalization products.
Proficient in SQL, Python (including pandas), and PySpark for working with large distributed datasets; experience in classical ML algorithms and production model deployment.
Experience with ML model tuning, implementation in production pipelines, and strong data wrangling, visualization, and statistical testing skills.
Experienced in retention-focused analytics such as churn prediction, survival analysis, or customer LTV modeling with hands-on practical application.
Capable of leading technical decisions and communicating complex ML solutions effectively to cross-functional audiences including data scientists, engineers, and product managers.
Familiar with large-scale streaming or subscription-based digital product analytics and comfortable designing experimentation frameworks for measuring retention and engagement.