Applied Scientist, Prime Video - Marketing Science

Prime Video is a first‑stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios‑produced series and movies, licensed fan favorites, and programming from Prime Video add‑on subscriptions such as Apple TV+, Max, Crunchyroll, and MGM+.

All customers, whether or not they have a Prime membership, can rent or buy titles via the Prime Video Store and enjoy additional free content with ads.

• Build sequential decision‑making frameworks (e.g., MDPs, multi‑armed bandits, dynamic programming) to optimize marketing resource allocation over time under uncertainty.
• Create predictive models to forecast marketing efficiency and aid strategic budget allocation across channels, campaigns, and markets.
• Design and analyze geo‑level and regional hold‑out experiments to validate model predictions and establish ground truth.
• Automate and scale modelling infrastructure to improve efficiency and expand coverage across use cases and geographies.
• Collaborate with leaders across business and finance teams to translate business questions into well‑posed statistical and optimisation problems.
• Quantify uncertainty in model outputs and communicate results, limitations, and recommendations clearly to non‑technical stakeholders.

The Marketing Science team drives decision‑making on global Prime Video marketing efforts by delivering sophisticated marketing measurement and optimisation models. As an Applied Scientist on the team, you will build optimisation and forecasting systems that leverage marketing effectiveness insights to deliver actionable investment recommendations. Your frameworks will inform critical decisions for the business while adapting strategy over time as customer behaviour evolves.

• Master’s degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields.
• Experience programming in Java, C++, Python, or related language.
• Experience building machine‑learning models or developing algorithms for business application.

• Experience implementing algorithms using both toolkits and self‑developed code.
• Publishings at top‑tier peer‑reviewed conferences or journals.
• PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.