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Senior Data Scientist ( Part-Time)

Pay
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Work setting
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Employment
Part-time — employment source
Competitive salary Part-time position Strong learning opportunities within an open, diverse, and experienced team
Employment type in the employer’s posting: Part-Time
From the employer’s posting

What you’ll work on

Full posting

We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:

Impressions, reach and campaign performance prediction

  • Build and scale statistical and ML models for TV, OTT and CTV audience data

  • Design forecasting models for inventory, impressions, reach and delivery

  • Develop deduplication and cross-platform reach estimation models

  • Design planning and allocation algorithms for campaign optimisation and yield

  • Productionise models with product and engineering teams

From the employer’s posting
We are hiring a Data Scientist with proven industry experience in media, advertising, or adtech — particularly in:
Impressions, reach and campaign performance prediction
Build and scale statistical and ML models for large audience datasets (TV, OTT, CTV)
Forecasting models for inventory, impressions, reach, and campaign delivery
Deduplication and cross-platform reach estimation models
Design and implement planning and allocation algorithms for campaign optimisation and yield management
Work closely with product and engineering to productionise and integrate models into decision systems
Apply at Streamhub

Posting record

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Open 3 monthsWe first saw this posting 101 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 25, 2026101 days ago
Recorded sightings
43
Last seen by us
Nov 4, 2026
Employer says posted
Jul 23, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 101

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From 9,988 similar postings that came down. Coming down is not always a hire.

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  • Python
  • SQL
Where the posting names them
- 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

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Streamhub is a global analytics 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 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 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-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

What we're looking for

  • 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

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

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
  • 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

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.

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Pay

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Location & working pattern

Bengaluru, IN

- Strong learning opportunities within an open, diverse, and experienced team - Flexible hybrid working style - 28 days’ holiday including public holidays
Work authorization
- Health insurance and pension cover 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.

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