Senior Data Scientist

Streamhub

Senior Data Scientist at Streamhub focusing on statistical and ML models for media measurement. Collaborating on inventory planning, audience prediction and campaign optimization.

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

Core Competencies

Role fit

Core Competencies

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Expertise in building and scaling statistical and machine learning models for large datasets, with a strong focus on campaign optimization and yield management in the media industry. Proficient in translating complex business problems into data science solutions and integrating models into decision systems.

Highest-signal resume keywords

Statistical And ML Model DevelopmentPython ProgrammingSQL ProficiencyForecasting Model BuildingMedia Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodsMachine Learning TechniquesTime-Series ModellingRegression AnalysisProbabilistic ForecastingOptimization Techniques

Industry Keywords

Media IndustryAudience MeasurementCampaign OptimizationYield ManagementDigital Ad Metrics

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)
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)
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
Health insurance and pension cover
Flexible hybrid working style
28 days' holiday including public holidays
Strong learning opportunities within an open, diverse, and experienced team