Senior Technical lead- Data Science & ML Ops

Prodapt

0 years

3 - 10 Lacs

chennai

Posted:3 days ago| Platform: GlassDoor logo

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Skills Required

data ml drive deployment network analytics monitoring service development qos video engineering collaboration code testing model governance leadership python sql spark communication airflow gcp

Work Mode

On-site

Job Type

Part Time

Job 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: - 12 to 15 Yrs

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