Sr. Applied Scientist, Prime Video, Marketing Tech Job at Amazon in Sunnyvale

Sr. Applied Scientist, Prime Video, Marketing Tech

Job ID: 2834108 | Amazon.com Services LLC

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. On Prime Video, customers can find their favorite movies, series, documentaries, and live sports. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experiences.

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.

Prime Video’s Customer Relationship Marketing Technology Team mission is to help Prime Video become the entertainment destination for global customers by delivering holistic, cross-Prime Video customer lifecycle management programs. We build, maintain, and obsess over the relationship we have with our customers, and use relevant content and offers to keep customers excited.

Key job responsibilities

As Sr. Applied Scientist on the Marketing Technology team, you will lead the Science efforts to maximize the impact of our marketing investments. You will help define the strategy and vision for our Science initiatives, and execute on that vision to develop state of the art models. This role requires an ability to work with huge amounts of highly granular data to build predictive models using advanced ML techniques. You will be responsible for bridging the experimental domain with the production domain by building robust and efficient computational pipelines to scale up models. You will ensure model performance for various use cases, including response prediction models for targeting optimizations and uplift models for incrementality optimizations. You will leverage data-driven decision-making and communicate effectively with leaders at all levels. As a leader on the team, you will take on ambiguous projects with a high degree of autonomy and visibility. You will deliver recommendations to senior executives and drive alignment across teams, functions, and organizations.

BASIC QUALIFICATIONS

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience building models for advertising and/or personalization.

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: February 8, 2025 (Updated about 8 hours ago)

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