Job Overview

We are seeking an experienced Senior Manager - Data Scientist for a US Telecom firm. This executive-level position is based in Bangalore, Hyderabad, or Chennai and demands a minimum of 10 years of relevant work experience. This role is full-time and operates on a hybrid work model, combining on-site and remote responsibilities. The ideal candidate will have a strong foundation in data science and AI/ML, with a focus on developing and implementing personalization models.

Qualifications and Skills

• Proficiency in data science and advanced analytics to drive business insights and strategies (Mandatory skill).
• Expertise in artificial intelligence (AI) and machine learning (ML) techniques and applications (Mandatory skill).
• Capability to develop and refine personalization models to enhance customer experience (Mandatory skill).
• Strong programming skills in Python for data manipulation, analysis, and machine learning tasks.
• Proficiency in SQL for efficient database querying, data extraction, and data manipulation.
• Experience with Google Cloud Platform (GCP) for deploying and managing scalable data solutions.
• Understanding of real-time data processing frameworks and their integration into business processes.
• Demonstrated ability to lead and mentor a team of data professionals towards successful project completion.

Roles and Responsibilities

• Lead and manage data science projects from conception to execution, ensuring alignment with business goals.
• Develop, implement, and optimize AI/ML models tailored to improve customer personalization and engagement.
• Collaborate with cross-functional teams to identify and prioritize business use cases for data-driven solutions.
• Analyze complex data sets to derive actionable insights and drive strategic decision-making processes.
• Mentor and guide junior data scientists, fostering a culture of innovation and continuous learning.
• Ensure data integrity, quality, and governance across all data-related activities and initiatives.
• Stay updated with industry trends and advancements to continuously enhance the organization's data capabilities.
• Communicate findings and recommendations to stakeholders through clear, concise, and effective presentations.