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Tier-1 brand, mid-level data scientist role in Hyderabad with broad ML skills creates high competition.
Production ML and retention analytics focus moderately limits transfers from unrelated industry backgrounds.
Mandatory 3+ years plus production ML experience, PySpark, SQL and Python implies strict technical screening.
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Build and deploy machine learning models focused on customer retention, churn prediction, and lifetime value for streaming products.
Conduct exploratory data analysis to identify behavioral drivers of retention and convert findings into actionable business insights.
Collaborate with cross-functional teams to design scalable ML solutions and influence retention strategies across product, marketing, and commerce domains.
3+ years of experience in building machine learning products with personalization focus.
Proficient in SQL, Python (pandas), and PySpark for large distributed datasets.
Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field.
Work Experience Required: 3+ years in ML product development; Notice period: Not explicitly mentioned in the JD.
Experienced in retention analytics, churn prediction, LTV modeling, and consumer subscription products, preferably streaming services.
Demonstrated ability to lead technical ML decisions and communicate solutions across data scientists, engineers, and product managers.
Skilled in deploying production-level ML pipelines with strong understanding of statistical testing and classical machine learning algorithms.