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Known global brand, popular Data Scientist title, Bangalore metro, and broad production/ML skill requirements increase competition.
Core ML and production skills are transferable, but sampling and audience-measurement expertise increases industry specificity.
Requires production ML, cloud, and data engineering skills despite no years specified, indicating stringent technical filters.
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Build and deploy scalable AI/ML models and data pipelines for media measurement solutions targeting publishers, advertisers, and agencies.
Identify AI opportunities in projects and implement machine learning models in production environments with reproducibility and automation.
Collaborate with cross-functional teams to validate, optimize, and communicate methodology research findings and support continuous project development.
Experience in machine learning model development and deployment in production environments.
Familiarity with data science methodologies including sampling analytics, dimension reduction, and data integration.
Proficiency in software development best practices and working with cloud-based data pipelines.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in integrating AI/ML solutions within cross-functional teams in fast-paced data science or media technology environments.
Strong capability to translate research methodology into scalable production software and address quality issues efficiently.
Comfortable working end-to-end from data exploration and model building to deployment and documentation in a reproducible manner.