Data Scientist

We are seeking a Data Scientist Experience range 6 9 years ML Engineer to design and implement advanced machine learning models aimed at reducing customer churn and order cancellations The role involves working closely with cross functional teams to build predictive solutions that identify at risk customers before cancellation events occur and enable proactive retention strategies The Data Scientist will play a key role in end to end model development from data exploration and feature engineering to model training evaluation and deployment on the GCP environment The work will include leveraging large scale data pipelines using PySpark developing ML and deep learning models with Python and PyTorch and collaborating with Data Engineering and business teams to ensure production readiness and measurable business impact While the initial focus will be on reducing broadband order cancellations the underlying ML framework will be designed to support future applications such as customer lifecycle management upsell cross sell prediction and service quality analytics across multiple business domains Key Responsibilities Perform data exploration and feature engineering on large structured and unstructured datasets Build and evaluate predictive ML and deep learning models for customer behavior prediction including customer lifetime value CLV churn and conversion propensity Collaborate with Data Engineering teams to develop scalable data pipelines on Google Cloud Platform GCP Work with Product and Engineering teams to align data models and analytical frameworks with business goals Translate analytical findings into actionable insights that support marketing and retention strategies Contribute to MLOps practices for continuous model improvement and deployment Support other data driven initiatives beyond cancellation prediction such as personalization retention and service analytics