Overview
Job Summary: -
Drive telecom data science projects from conception through deployment while leading a multidisciplinary team. Deliver high-quality data-driven solutions focused on telecom network analytics, customer churn, real-time monitoring, and service optimization.
Responsibilities
Key Responsibilities: -
- Oversee development, validation, and deployment of data science models solving telecom-specific challenges such as churn, QoS, SINR, and Video on Demand analytics.
- Lead data engineering efforts to build scalable data pipelines from telecom wireline/wireless network sources and real-time data streams.
- Manage team priorities, resources, and timelines ensuring alignment with telecom business objectives.
- Facilitate collaboration across data science, engineering, and telecom domain experts.
- Promote best practices in code quality, testing, and model governance within telecom projects.
- Communicate project progress and technical findings to stakeholders.
Requirements
Skills and Requirements: -
- Proven leadership experience in telecom data science or analytics projects.
- Strong skills in statistical modeling, ML, data engineering with telecom data expertise.
- Proficiency in Python, SQL, and experience with big data platforms (Spark, Hadoop).
- Familiarity with telecom domain knowledge: Wireline, Wireless, NQES, churn, real-time data.
- Excellent organizational, communication, and leadership skills.
- Airflow, Data Proc over GCP, Vertex.AI, BigQuery, Teradata
- Understanding H2O is a plus
Exp Range:- 5 to 8 Yrs
