Senior Data Scientist

Hybrid Full TimeBengaluru, Karnataka, IndiaStreamhub

Streamhub is a global analytics platform powering total audience measurement, planning and targeting for TV and streaming services. We are in a growth phase, expanding our teams across Bangalore, London and Tokyo. The role involves designing and deploying forecasting and optimisation models that directly impact revenue, inventory management and campaign planning for media owners and advertisers.

Requirements

  • 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

Benefits

  • Competitive salary
  • Full-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

Tagged as: , , ,

To apply for this job please visit streamhub.breezy.hr.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!