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Strong brand, mid-level generalist ML role in metro with broad skill requirements increases competition.
Core ML skills transfer across industries, but retention/subscription experience raises domain specificity.
Explicit 3+ years, mandatory production ML, PySpark and SQL requirements make screening strict.
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Build and deploy end-to-end machine learning models focused on customer retention, churn prediction, and customer lifetime value to improve engagement across streaming products.
Perform exploratory data analysis to uncover behavioral drivers that inform retention strategies and actionable business insights.
Collaborate with cross-functional teams (Product, Design, Commerce, Content, Marketing) to translate retention challenges into scalable ML solutions and promote best practices in data science and ML adoption.
Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or related field.
At least 3 years of experience developing ML product solutions with personalization focus.
Strong proficiency in SQL, Python (pandas), and experience with PySpark on large distributed datasets.
Experience implementing machine learning pipelines and models at scale in production environments.
Experienced in retention analytics, churn prediction, and customer lifetime value modeling within subscription or streaming services.
Strong technical leadership skills demonstrated by leading ML technical decisions and collaboration across diverse teams.
Comfortable working with large-scale behavioral and subscription data and translating complex data insights into actionable business strategies.