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Bengaluru, IN
Open 3 months, first seen by us 101 days agoCompetitive salary Part-time position Strong learning opportunities within an open, diverse, and experienced team
Employment type in the employer’s posting: Part-TimeFrom the employer’s posting
We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:
Impressions, reach and campaign performance prediction
Build and scale statistical and ML models for TV, OTT and CTV audience data
Design forecasting models for inventory, impressions, reach and delivery
Develop deduplication and cross-platform reach estimation models
Design planning and allocation algorithms for campaign optimisation and yield
Productionise models with product and engineering teams
We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:
Impressions, reach and campaign performance prediction
Build and scale statistical and ML models for large audience datasets (TV, OTT, CTV)
Forecasting models for inventory, impressions, reach, and campaign delivery
Deduplication and cross-platform reach estimation models
Design and implement planning and allocation algorithms for campaign optimisation and yield management
Work closely with product and engineering to productionise and integrate models into decision systems
Open 3 monthsWe first saw this posting 101 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 101
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
2 open jobs
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
Complete your application on streamhub.breezy.hr. The employer’s form will show what is required.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Streamhub is a global analytics platform powering total audience measurement, planning and targeting for TV and streaming services. Our mission is simple: make video data actionable and accessible for the entire media ecosystem. We work with broadcasters, streaming platforms and advertisers in multiple countries, combining advanced analytics, AI and scalable engineering to solve complex problems in the advertising value chain.
We are in a growth phase, expanding our teams across Bangalore, London and Tokyo to reinforce our international and entrepreneurial culture.
We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:
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.
What you'll do
- Statistical models (e.g., NBD, regression-based methods) for behaviour, frequency, and reach estimation
- 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
Nice to Have:
Why join Streamhub?
The Package
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.
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Bengaluru, IN
- 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.