Senior Data Scientist – Part-Time

Streamhub

Data Scientist at Streamhub developing and scaling models for audience measurement and campaign optimization. Work on media datasets to influence product direction in an entrepreneurial culture.

Posted 7/23/2026part-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling statistical and machine learning models for audience datasets, with a strong focus on forecasting, deduplication, and campaign optimization. Proficient in translating complex business problems into data science solutions while collaborating with cross-functional teams.

Highest-signal resume keywords

Statistical ModelingMachine LearningPython ProgrammingSQL ProficiencyForecasting Models

ATS Keywords

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Hard Skills

Statistical ModelsRegression-Based MethodsTime-Series ModelingChurn Prediction ModelsClustering ModelsCampaign Optimization AlgorithmsPredictive ModelingDeduplication TechniquesOptimization TechniquesAudience Segmentation

Industry Keywords

Media IndustryAudience MeasurementAnalytics PlatformsDigital Ad MetricsImpressionsReachGRPsTVRYield ManagementData Science Solutions

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
- 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

Requirements

What you’ll need

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

Benefits

Comp & perks

Competitive salary
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