Back
Remote role, generalist data science requirements, mid-level experience and metro Bangalore increase competition.
Requires media/adtech and audience-measurement experience, limiting cross-industry transferability.
Mandatory 5+ years media experience and production ML/model deployment requirements raise shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy forecasting and optimisation models for TV and OTT/CTV media inventory, impressions, reach, and campaign delivery impacting revenue and planning.
Translate business problems like pricing, allocation, and yield optimisation into scalable data science solutions using large-scale audience datasets.
Collaborate closely with product and engineering teams to productionise models and contribute to AI-driven feature development for media measurement.
5+ years of industry experience in media research, broadcasting, media company, agency, or audience measurement/analytics platforms in data analysis or data science roles.
Proven hands-on experience building forecasting models for media inventory, planning, or deduplication in commercial environments.
Strong Python and SQL skills with experience deploying production machine learning models.
Experience with time-series modelling, regression, probabilistic forecasting, or optimisation techniques; understanding key media metrics such as impressions, reach, GRPs/TVR, and digital ad metrics.
Experienced operational data scientist with a track record of shipping forecasting and optimisation models in media/advertising settings focused on inventory and campaign performance.
Comfortable working with complex media datasets (TV, OTT, CTV) and translating business needs into scalable models for advertising value chains.
Able to work in hybrid setups, collaborating with international teams and contributing both technically and strategically to media measurement product evolution.