Back
Tier-1 brand, mid-level role, metro location, and broad ML requirements increase competition.
Core ML and data engineering skills transfer across industries, though subscription/streaming domain knowledge helps.
Explicit 3+ years plus mandatory production ML, PySpark, SQL and Python skills enforce moderate filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy end-to-end machine learning solutions targeting customer retention and long-term engagement for streaming products.
Develop churn, propensity, and customer lifetime value models to identify at-risk customers and inform retention strategies.
Collaborate closely with cross-functional teams (Product, Design, Commerce, Content, Marketing) to translate retention challenges into data-driven solutions.
3+ years of experience building machine learning and personalization products.
M.S. or B.S. degree in Computer Science, Statistics, Data Science, Quant, or related field.
Strong proficiency in SQL, Python (pandas), and experience with PySpark on large distributed datasets.
Experience implementing ML pipelines and models at scale in production environments.
Experienced in churn prediction, survival analysis, LTV modeling, or retention analytics with subscription or streaming digital products.
Capable of performing exploratory data analysis and converting ML outputs into actionable business decisions.
Demonstrated ability to lead technical decisions and evangelize ML adoption across cross-functional teams.