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.