Senior Data Scientist

Streamhub; India; Hybrid; INR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Flexible hybrid working

28 days holiday including publichols

Health insurance

Pension plan

Job summary

Streamhub is a global analytics platform expanding across Bangalore, London, and Tokyo. We seek a Data Scientist with production ML experience in media/advertising to build forecasting models for inventory, impressions, and campaign performance.

You will deploy models that influence revenue and planning in a fast-paced, international environment. This role requires hands-on experience with Python/SQL, time-series methods, and cross-platform deduplication.

Qualifications

• 5+ years in media, advertising, or adtech analytics.
• Experience building production ML models for revenue or planning.
• Strong programming skills in Python and SQL.
• Knowledge of time-series, regression, and probabilistic forecasting.
• Understanding impressions, reach, and GRPs/TVR metrics.

Responsibilities

• Build scalable statistical and ML models on large TV/OTT datasets.
• Develop planning and allocation algorithms for campaigns.
• Collaborate with product and engineering to productionise models.
• Translate business problems into data science solutions.
• Contribute to AI-driven features across planning and measurement.
• Evaluate model performance and monitor production systems.

Skills

Forecasting models experience

Python

SQL

Time-series modelling

Adtech/media analytics domain

Tools

Python

SQL

Job description

Streamhub is a global analytics platform powering total audience measurement, planning, and targeting for TV and streaming services. Our mission is simple: to make video data actionable and accessible for the entire media ecosystem. We work with broadcasters, streaming platforms, and advertisers across 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.

Role Overview

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-ready models in a commercial media environment.

What you'll do

• 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) for behaviour, frequency, and reach

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

What we're looking for

• 5+ years of experience in the media industry (research companies, broadcasters, media owners, agencies, or audience measurement/analytics platforms), working in data science or analytics roles
• Hands-on experience building forecasting models for inventory, media planning, or deduplication
• Strong programming skills in Python and SQL, with 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, and digital advertising metrics

Nice to have

• 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 and modelling capabilities in next-generation media measurement

The Package

• Full-time or pat-time position
• Strong learning opportunities within an open, diverse, and experienced team
• Flexible hybrid working
• 28 days' holiday including public holidays
• Health insurance and pension cover

We are committed to equal employment opportunities regardless of race, colour, 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.