Back
Strong national telecom brand, Mumbai metro, and generic Data Scientist title increase applicant density.
Advanced ML, telecom big-data and MLOps needs make cross-industry transfer moderately constrained.
Explicit 7-15 year requirement, senior ML leadership and mandatory technical stack imply rigorous filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage a team of data scientists to create predictive models impacting revenue and ARPU using AI, ML, and cloud technologies.
Architect and implement Generative AI and autonomous Agentic AI solutions to automate complex workflows in customer and operations.
Build and maintain data science roadmaps, robust data and ML pipelines, and collaborate closely with data engineers for telecom data processing.
7-15 years of relevant work experience in data science and analytics roles.
Graduate, Master's, or PhD in Statistics, Economics, Engineering, or quantitative discipline from a top-ranked university.
Hands-on expertise in Python, R, SQL, cloud technologies (preferably AWS), machine learning, deep learning frameworks, and big data technologies.
Experience managing and mentoring a team of 2-3 data scientists.
Strong operational expertise in building production-grade ML pipelines and deploying AI/ML solutions at scale in telecom or similar large data environments.
Proven ability to translate complex business problems into AI/ML-driven solutions aligned with marketing domain objectives.
Experience with cloud architecture (AWS), big data ecosystems, and advanced statistical methods in a mid-to-senior data science leadership role.