Amazon is hiring: Applied Scientist I, Prime Video Marketing Analytics (PVMA) in

Applied Scientist I, Prime Video Marketing Analytics (PVMA)

Job ID: 2858275 | Amazon.com Services LLC

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We are looking for a motivated Applied Scientist with experience in machine learning (ML) and causal inference in relation to marketing or other business applications, to be part of a team that innovates, iterates, and solves real-world problems in the realm of Prime Video marketing. In this job, you will take ownership in the development of one of our causal inference models. You will join a cross-functional team, working closely with other scientists, economists, and data engineers on a daily basis. The scope of this role will include developing infrastructure in AWS to automate the routine functions of the model, innovating model enhancements, and working with peers and stakeholders to derive insights from the model results.

Key job responsibilities:

1. Apply state-of-the-art Machine Learning (ML) and Causal Inference algorithms to optimize marketing investment decisions at Prime Video.
2. Own and improve insight generating processes for the production models.
3. Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML models.
4. Collaborate with colleagues across science and engineering disciplines on infrastructure development that enables faster turnaround of marketing insights.

BASIC QUALIFICATIONS

- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field.
- Experience programming in Java, C++, Python or related language.
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

PREFERRED QUALIFICATIONS

- Experience implementing algorithms using both toolkits and self-developed code.
- Have publications at top-tier peer-reviewed conferences or journals.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Posted: December 20, 2024 (Updated about 4 hours ago)

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