Senior Data Scientist ( Part-Time)

Streamhub; Bengaluru; On-site; INR 600,000 - 900,000; Part time

Benefits offered by this job

Competitive salary

Health insurance

Pension cover

28 days holiday including public holidays

Flexible hybrid working

Job summary

A dynamic analytics startup based in Bengaluru is seeking a Data Scientist with over 5 years of experience in media to develop and optimize forecasting models for inventory and campaign performance. Applicants must possess strong Python and SQL skills, along with experience in statistical modeling. The position is part-time with a competitive salary, flexible hybrid working, and opportunities for personal growth within a global team. Join us to influence product direction in a fast-paced international company.

Qualifications

• 5+ years of experience in the media industry.
• Hands-on experience building forecasting models.
• Strong Python and SQL skills.
• Experience with time-series modelling, regression, probabilistic forecasting, or optimisation.
• Understanding of impressions, reach, GRPs/TVR, digital ad metrics.

Responsibilities

• Build and improve forecasting models for inventory and campaign delivery.
• Develop predictive models using census and/or panel data.
• Translate business problems into scalable data science solutions.
• Work closely with product and engineering to productionise models.
• Apply statistical and ML techniques to large-scale audience datasets (TV, OTT, CTV).
• Contribute to AI‑driven feature development across planning and measurement.

Skills

Forecasting models

Statistical techniques

Python

SQL

Time-series modelling

Tools

Python

SQL

Production ML

Job description

Job Type: Part‑time

Industry: Audience measurement, Data science, AI, Data analysis, OTT/CTV Analytics, Research, Advertising

Company size: 20-50

Company type: Analytics / Data Technology Startup going into Scaleup phase

Streamhub is a global analaytics 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 reenforce 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

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:

• Build and improve forecasting models for inventory, impressions, reach and campaign delivery
• Develop predictive models using census and/or panel data
• Translate business problems (pricing, allocation, yield optimisation) into scalable data science solutions
• Work closely with product and engineering to productionise models
• Apply statistical and ML techniques to large-scale audience datasets (TV, OTT, CTV)
• Contribute to AI‑driven feature development across planning and measurement

What we’re looking for

Required:

• 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 Python / SQL and production ML experience
• Experience with time‑series modelling, regression, probabilistic forecasting, or optimisation
• Understanding of impressions, reach, GRPs/TVR, digital ad metrics

Nice to Have:

1. Experience working with audience measurement or cross‑media data
2. Knowledge of supply forecasting in linear TV or streaming
3. Experience deploying models in cloud environments

Why join Streamhub?

• 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 / modelling capabilities in next‑generation media measurement

The Package

• Competitive salary
• Part‑time position
• Immense learning working with open, diverse, and experienced colleagues in an entrepreneurial team culture.
• Flexible hybrid working with 2-3 days at office as needed
• 28 days holiday including public holidays
• Health insurance and pension cover

Thank you for your interest in Streamhub!

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.