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Key skills for this role
We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:
Forecasting models for inventory planning
Impressions, reach and campaign performance prediction
Supply-demand modelling in TV and OTT environments
Deduplication models for reach and frequency across linear TV, OTT, and digital platforms
You will design and deploy forecasting and optimisation models that directly impact revenue, inventory management and campaign planning for media owners and advertisers.
This is not an academic role — we are looking for someone who has built and shipped production models in a commercial media environment.
We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:
Forecasting models for inventory planning
Impressions, reach and campaign performance prediction
Supply-demand modelling in TV and OTT environments
Deduplication models for reach and frequency across linear TV, OTT, and digital platforms
You will design and deploy forecasting and optimisation models that directly impact revenue, inventory management and campaign planning for media owners and advertisers.
This is not an academic role — we are looking for someone who has built and shipped production models in a commercial media environment.
Build and scale statistical and ML models for large audience datasets (TV, OTT, CTV), ensuring performance, reliability, and production readiness, including:
- Statistical models (e.g., NBD, regression-based methods) for behaviour, frequency, and reach estimation
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Bengaluru, IND
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Bengaluru, IND
Bengaluru, IND
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- Deduplication and cross-platform reach estimation models
- Forecasting models for inventory, impressions, reach, and campaign delivery
- Predictive models for audience measurement and planning
- Churn prediction models for retention and engagement analysis
- Clustering models for audience segmentation and targeting optimisation
Design and implement planning and allocation algorithms for campaign optimisation and yield management
Translate business problems (pricing, allocation, yield optimisation) into scalable data science solutions
Work closely with product and engineering to productionise and integrate models into decision systems
Contribute to AI-driven feature development across planning and measurement
5+ years of experience in the media industry (research company, broadcaster, media company, agency, or audience measurement/analytics platforms), working in the capacity of research or data analysis/science
Hands-on experience building forecasting models for inventory or media planning or deduplication
Strong programming skills in Python and SQL, with hands-on experience in production ML systems
Solid foundation in statistical and ML methods, including time-series modelling, regression, probabilistic forecasting, and optimisation techniques
Understanding of impressions, reach, GRPs/TVR, digital ad metrics
Experience working with audience measurement or cross-media data
Knowledge of supply forecasting in linear TV or streaming
Experience deploying models in cloud environments
Work on real media datasets at scale and see your ideas come to life
Influence product direction in a fast-growing international company
Entrepreneurial culture with global exposure
Opportunity to build foundational AI / modelling capabilities in next-generation media measurement
Competitive salary
Part-time position
Strong learning opportunities within an open, diverse, and experienced team
Flexible hybrid working style
28 days’ holiday including public holidays
Health insurance and pension cover
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Streamhub is a private London video analytics SaaS platform serving broadcasters, agencies, and audience-measurement organizations.
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Senior · 5+ years experience
Hybrid
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