Data Scientist

About the Role:

• We are looking for a highly skilled Data Scientist to design and implement
• advanced machine learning models that reduce customer churn and order cancellations.
• This role involves working closely with cross-functional teams to build predictive solutions
• that identify at-risk customers before cancellation events occur, enabling proactive
• retention strategies.
• The initial focus will be on reducing broadband order cancellations, but 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.

Required Skills & Qualifications:

• 48 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 predictive
• analytics.
• Expertise in data preprocessing, feature engineering, and working with large-scale
• datasets.
• Familiarity with Google Cloud Platform (GCP) and scalable data pipeline
• development.
• Knowledge of MLOps practices and model deployment in production environments.
• Excellent problem-solving skills and ability to translate business requirements into
• technical 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 customer
• experience and business growth.
• Collaborative environment with cutting-edge technologies and cloud-based
• infrastructure.
• Scope to expand into advanced analytics applications across multiple domains.