Job Title

About the Role:We are looking for a highly skilled Data Scientist to design and implementadvanced machine learning models that reduce customer churn and order cancellations.This role involves working closely with cross-functional teams to build predictive solutionsthat identify at-risk customers before cancellation events occur, enabling proactiveretention strategies.The initial focus will be on reducing broadband order cancellations, but the underlying MLframework will be designed to support future applications such as customer lifecyclemanagement, upsell/cross-sell prediction, and service quality analytics across multiplebusiness domains.Key Responsibilities:• Perform data exploration and feature engineering on large structured andunstructured datasets.• Build and evaluate predictive ML and deep learning models for customer behaviorprediction, including Customer Lifetime Value (CLV), churn, and conversionpropensity.• Collaborate with Data Engineering teams to develop scalable data pipelines onGoogle Cloud Platform (GCP).• Work with Product and Engineering teams to align data models and analyticalframeworks with business goals.• Translate analytical findings into actionable insights that support marketing andretention strategies.• Contribute to MLOps practices for continuous model improvement and deployment.• Support other data-driven initiatives beyond cancellation prediction, such aspersonalization, retention, and service analytics.Required Skills & Qualifications:• 4–8 years of experience in Data Science or Machine Learning roles.• Strong proficiency in Python, PyTorch, and PySpark.• Hands-on experience with ML model development, deep learning, and predictiveanalytics.• Expertise in data preprocessing, feature engineering, and working with large-scaledatasets.• Familiarity with Google Cloud Platform (GCP) and scalable data pipelinedevelopment.• Knowledge of MLOps practices and model deployment in production environments.• Excellent problem-solving skills and ability to translate business requirements intotechnical solutions.Preferred Qualifications:• Experience in customer behavior modeling (churn, CLV, propensity scoring).• Exposure to telecom or broadband domain is a plus.• Strong communication and collaboration skills to work with cross-functional teams.Why Join Us?• Opportunity to work on high-impact ML solutions that directly influence customerexperience and business growth.• Collaborative environment with cutting-edge technologies and cloud-basedinfrastructure.• Scope to expand into advanced analytics applications across multiple domains.