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Remote, mid-level generalist data scientist in metro increases applicant competition.
Strong media/adtech experience requirement limits cross-industry transferability.
Requires 5+ years media experience plus production ML and Python/SQL, so strict filters.
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Design, build, and deploy forecasting, optimisation, and deduplication models impacting revenue, inventory management, and campaign planning for media owners and advertisers.
Develop and scale statistical and machine learning models on large audience datasets (TV, OTT, CTV) including reach estimation, forecasting, and churn prediction.
Collaborate with product and engineering teams to productionise models and integrate data science solutions into decision systems for campaign optimisation.
5+ years experience in media industry in research, data analysis/science roles with focus on forecasting or media planning models.
Strong programming skills in Python and SQL with hands-on experience in production machine learning systems.
Solid knowledge of statistical and ML methods including time-series modelling, regression, probabilistic forecasting, and optimisation.
Understanding of impressions, reach, GRPs/TVR, and digital ad metrics relevant to media measurement.
Experienced in commercial media environments building and shipping production forecasting and deduplication models, not purely academic.
Has worked with or understands supply-demand modelling in TV and OTT/streaming platforms and audience measurement data.
Operates at senior level contributing to AI feature development and integrating complex models into scalable production systems.