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Remote mid-level data science role, generalist requirements, Bangalore location and broad skills drive high competition.
Strong media/adtech domain expertise required (reach, GRPs, supply forecasting), limiting cross-industry transferability.
Mandatory 5+ years in media plus production ML and forecasting expertise makes filtering strict.
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Design, build, and deploy forecasting, optimisation, and statistical ML models for TV, OTT, and digital audience measurement and campaign planning.
Own impact on revenue, inventory management, and campaign optimisation for media owners and advertisers through production-ready data science solutions.
Collaborate with product and engineering teams to productionise models and integrate them into decision-making systems.
5+ years experience in media industry roles involving research, data analysis, or data science.
Proven hands-on experience with forecasting models for inventory or media planning and deduplication models.
Strong programming skills in Python and SQL with experience in production ML systems.
Solid foundation in statistical and ML methods including time-series modelling, regression, probabilistic forecasting, and optimisation.
Experienced in commercial media or advertising data environments, especially in large audience datasets (TV, OTT, CTV).
Capable of translating business problems like pricing and yield optimisation into scalable data science solutions.
Familiar with audience measurement metrics such as impressions, reach, GRPs/TVR, and digital ad metrics, and comfortable working closely with cross-functional teams to operationalize models.