- Develop predictive models to identify high-risk customers for churn prediction, using machine learning algorithms and statistical techniques.
- Collaborate with cross-functional teams to integrate predictive insights into business operations, driving strategic decision-making.
- Design and implement data pipelines to collect, clean, and analyze large datasets for customer segmentation purposes.
- Conduct regular performance monitoring of developed models, identifying areas for improvement and optimizing results.
Job Requirements :
- 3-7 years of experience in predictive modeling or a related field (e.g., statistics, computer science).
- Robust background in building predictive models using machine learning algorithms (e.g., logistic regression, SVM) and statistical techniques (e.g., clustering).
- Experience working with big data technologies such as Hadoop/Hive/Pig; proficiency in SQL is required.
📌 Data Scientist (Bengaluru)
🏢 Meredith
📍 Bengaluru
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