Remote Jobs RockRemote Jobs Rock

Senior Data Scientist ( Part-Time)

๐Ÿ“… Jul 23
Data ScienceMachine LearningStatistical ModelingPython

๐Ÿ“œ Description

  • Build and scale statistical and ML models for large audience datasets (TV, OTT, CTV), ensuring performance, reliability, and production readiness.
  • Develop statistical models for behavior, frequency, and reach estimation.
  • Create forecasting models for inventory, impressions, reach, and campaign delivery.
  • Implement planning and allocation algorithms for campaign optimization and yield management.
  • Translate business problems into scalable data science solutions.
  • Collaborate with product and engineering to integrate models into decision systems.

๐Ÿ› ๏ธ Requirements

  • 5+ years of experience in the media industry, working in research or data analysis/science.
  • Hands-on experience building forecasting models for inventory or media planning.
  • Strong programming skills in Python and SQL, with experience in production ML systems.
  • Solid foundation in statistical and ML methods, including time-series modeling and regression.
  • Understanding of impressions, reach, GRPs/TVR, and digital ad metrics.

โœจ Benefits

  • Strong learning opportunities within an open, diverse, and experienced team.
  • Flexible hybrid working style.
  • 28 days' holiday including public holidays.
  • Health insurance.
  • Pension cover.
Full job description

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 โ€” 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 โ€” 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 daysโ€™ 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.

Stitchfix

Senior Full-Stack Data Scientist - Growth Algorithms

Stitchfix๐Ÿ‘ฅ 1001 - 5000 employees๐Ÿข Apparel & Fashion
๐Ÿ•’ 3 days ago

As a Senior Full-Stack Data Scientist on the Growth Algorithms team, you'll design experiments and optimize client journeys using machine learning to enhance acquisition and retention strategies.

Machine LearningData SciencePythonA/B Testing
Mercury

Senior Data Scientist

Mercury๐Ÿ‘ฅ 10,000+ employees๐Ÿข Financial Services๐Ÿค B2B
๐Ÿ•’ 6 days ago

As a Machine Learning-focused Data Scientist, you will build and deploy models to detect and prevent fraud, ensuring data quality and collaborating across teams to enhance fraud defenses.

Machine LearningData AnalysisSQLPython
Mercury

Staff Data Scientist

Mercury๐Ÿ‘ฅ 10,000+ employees๐Ÿข Financial Services๐Ÿค B2B
๐Ÿ•’ 6 days ago

As a Machine Learning-focused Data Scientist, you will enhance fraud detection and prevention efforts while collaborating across teams to ensure data quality and model effectiveness.

Machine LearningData AnalysisSQLPython
Reddit

Senior Data Scientist, Ads Integrity

Reddit๐Ÿ‘ฅ 1001 - 5000 employees๐Ÿข Online Community/social Media
๐Ÿ•’ 11 days ago

Lead the ads fraud detection and enforcement strategy at Reddit, leveraging data science to protect users and enhance platform integrity through innovative solutions.

Data ScienceMachine LearningFraud DetectionStatistical Analysis
Cloudera

Senior Data Scientist

Cloudera๐Ÿ‘ฅ 1001 - 5000 employees๐Ÿข Computer Software
๐Ÿ•’ 12 days ago

Join Cloudera as a Senior Data Scientist to design and deliver AI-powered systems that enhance decision-making and operational excellence in a fast-paced, data-driven environment.

Generative AILarge Language Models (llms)PythonMachine Learning

Trusted by Remote Workers