Junior Applied Scientist, EU Prime & Marketing Science

Are you interested in creating a large business impact on millions of customers through the use of machine learning and analytics?

We are seeking an Data Scientist to join our PriMA (Prime & Marketing) science team to model customer behavior, improve the engagement of our existing customers, and help us grow our customer base.

In this role, you will collaborate with cross-functional teams and stakeholders to solve problems, and you will regularly interact with software engineering teams and business leadership.

Some of the technical challenges you will contribute in this role are:
- Measuring marketing campaigns across external marketing channels (Youtube, TikTok, Google,....)
- Modeling the causal impact that some actions have over customers.
- Building better product recommendation for deals and promotions at Amazon



Key job responsibilities
- Develop accurate and scalable data science models to address business use cases ranging from: analyzing customer behavior, building recommender systems to increase engagement, or measuring the impact of marketing channels.

- Partner with engineers and applied scientists to implement data science solutions for complex business problems, guiding the application of best practices in data analysis, statistical modeling, and machine learning.

- Lead comprehensive data analyses to provide insights and recommendations that help management and business stakeholders make key strategic decisions.



About the team
The PRIMAS (Prime & Marketing Analytics and Science) is the team that support the science & analytics needs of the EU Prime and Marketing organization, an org that supports the Prime and Marketing programs in European marketplaces and comprises 250-300 employees.

The PRIMAS team, is part of a larger tech tech team of 50 people (comprising other job families like SDEs) that gives support to all the tech needs of the Prime & marketing org.

Basic Qualifications

- 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

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