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Lead Engineer - Data Scientist at PRODAPT NORTH AMERICA INC

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

30 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Statistical Modeling, Machine Learning, Data Engineering, Telecom Data Expertise, Python, SQL, Big Data Platforms, Spark, Hadoop, Telecom Domain Knowledge, Organizational Skills, Communication Skills, Airflow, Data Proc over GCP, Vertex.AI, BigQuery

Industry

technology;Information and Internet

Description

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

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Responsibilities

Drive telecom data science projects from conception through deployment while leading a multidisciplinary team. Oversee development, validation, and deployment of data science models solving telecom-specific challenges.