Senior Manager - Data Science

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.