Lead Engineer / Team Lead - Data Science

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30 countries. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80 locations globally.

Job Summary-Lead Engineer: 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.

Job Summary-Team Lead:

Lead and mentor the data science team to deliver impactful telecom analytics and predictive models. Ensure alignment with business goals and foster collaboration across technical and telecom domain teams.

Responsibilities

Key Responsibilities: Lead Engineer

• 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.
  
  
  

Key Responsibilities: Team Lead

• Guide development of predictive models and analytics addressing telecom KPIs including churn, network performance (SINR, NQES), and customer experience metrics.
• Collaborate with engineering teams to integrate models into production telecom systems.
• Mentor data scientists on technical skills, telecom domain knowledge, and career growth.
• Establish and enforce coding, testing, and analytical standards within the team.
• Present findings and insights clearly to technical and non-technical stakeholders.
• Prioritize projects in collaboration with telecom business units.
  
  
  

Requirements

Skills and Requirements: Lead Engineer

• 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.
  
  
  

Skills and Requirements: Team Lead

• Strong leadership and people management skills with telecom data science experience.
• Expertise in telecom data science tools and methodologies (Python, R, SQL, visualization).
• Knowledge of telecom data sources and real-time analytics platforms.
• Ability to communicate complex telecom analytics effectively across audiences.
• Problem-solving and decision-making capabilities.
• Airflow, Data Proc over GCP, Vertex.AI, BigQuery, Teradata
• Understanding H2O is must
  
  
  

Education & Qualification for both Lead Engineer & Team Lead:

• Bachelor's degree in business, Information Technology, Computer Science, or a related field.
• 5-9 years' experience in the IT industry.