Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong brand, popular Data Scientist title, mid-level experience, and metro location increase candidate competition.
Core ML and retention skills are transferable, but streaming/subscription analytics adds moderate domain specificity.
Explicit 3+ years, mandatory ML production experience, and specific tech stack make filters strict.
Build and deploy machine learning models to predict and improve customer retention and long-term engagement for streaming products.
Develop churn, propensity, and customer lifetime value models to identify at-risk customers and support retention strategies.
Collaborate cross-functionally with Product, Design, Commerce, Content, and Marketing teams to translate retention challenges into data-driven solutions.
M.S. or B.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 (pandas), and PySpark for large-scale distributed data processing.
Experience with statistical tests, classical ML algorithms (regression, tree-based models), and production ML pipeline deployment.
Experienced in retention analytics including churn prediction, survival analysis, and customer lifetime value modeling.
Skilled at exploratory data analysis and translating complex data into actionable business insights.
Capable of leading technical decisions and communicating technical concepts effectively with cross-functional teams.