Lead Data Scientist - ML migration

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