Senior Manager - Data Science
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Summary
A senior people-management role in Hyderabad leading multiple teams of data scientists and ML engineers, overseeing production deployment of ML, AI/LLM solutions and data pipelines while setting technical rigor and QA standards. Core focus areas are machine learning, deep learning, computer vision, NLP, LLMs and statistical modeling.
About the Role
The Senior Manager/Director - Data Science manages multiple teams of data scientists and ML engineers, with direct and indirect managerial responsibility. This role is fundamental to the growth of the AI & Data Science organization, establishing the technical rigor, culture, and operating rhythm needed to deliver business outcomes. The ideal candidate has in-depth knowledge across Computer Vision, NLP, and Deep Learning, including problems such as image classification, object detection, search, recommendation, and language models.
Key Responsibilities
• Manage multiple teams of data scientists and ML engineers, with direct and indirect managerial responsibilities.
• Work with local and global management across org partners to ensure the success and business outcomes of assigned teams.
• Oversee the deployment and maintenance of machine learning models, AI & LLM-based solutions, and data pipelines in production.
• Establish and enforce rigorous quality assurance processes to maintain the integrity and accuracy of deliverables.
• Act as a subject matter expert on data science topics, providing guidance to internal teams.
• Design large-scale AI/ML systems end-to-end in a fast-paced environment.
• Lead initiatives in core data science, including statistical modeling, machine learning, data mining, and experimental design.
• Identify areas of improvement in existing solutions.
Key Skills
• 10+ years of overall experience, with 5+ years working in Data Science, AI, deep learning, and statistics.
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• Strong experience in statistical analysis, Machine Learning, and Deep Learning, particularly Computer Vision, NLP, and LLMs.
• Proven track record leading AI teams and shipping production-scale systems.
• Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
• Proven track record building high-performance teams.
• Outstanding verbal and written communication skills.
Good to Have
• Experience conducting iterative experiments that demonstrate incremental lift in business metrics from AI/ML initiatives.
• Passion for staying updated with the latest advancements in AI, deep learning, and generative AI.
• Experience leading research initiatives to explore new methodologies, tools, and technologies.