Senior Data Scientist

Streamhub; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Flexible hybrid working

28 days holiday

Health insurance

Pension cover

Job summary

Streamhub is hiring a Data Scientist in Bengaluru, India. The ideal candidate has over 5 years of experience in the media industry, with strong programming skills in Python and SQL. Responsibilities include designing forecasting and optimisation models for inventory and campaign planning. The role offers health insurance, 28 days holiday, and a flexible hybrid working environment. If you are passionate about media analytics and building impactful models, Streamhub invites you to join their growing team.

Qualifications

• 5+ years of experience in media industry data science or analytics roles.
• Hands-on experience building forecasting models for media planning.
• Solid foundation in statistical and ML methods.

Responsibilities

• Design and deploy forecasting and optimisation models.
• Build and scale statistical and ML models for large datasets.
• Translate business problems into scalable data science solutions.

Skills

Forecasting models for inventory planning

Impressions and reach prediction

Python

SQL

Statistical and ML methods

Tools

Cloud environments

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 position
• Strong learning opportunities within an open, diverse, and experienced team
• Flexible hybrid working with 2–3 days in the office as needed
• 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.