Data Scientist for Amazon Advertising
1 week ago
Amazon, a leader in e-commerce, is seeking a talented Data Scientist to join its Advertising team. As an integral part of this team, you will play a crucial role in driving business growth and customer satisfaction.
About the RoleWe are looking for a skilled Data Scientist who can build machine learning models and analyze large datasets to deliver scalable solutions to business problems. Your expertise will help us optimize advertising campaigns, improve user experience, and drive revenue growth.
This is a unique opportunity to work with cutting-edge technologies and contribute to the development of innovative products that shape the future of e-commerce.
Key Responsibilities- Design and develop machine learning models to analyze large datasets and predict user behavior.
- Analyze and interpret complex data to identify trends and opportunities for improvement.
- Collaborate with cross-functional teams to integrate machine learning models into production environments.
- Communicate technical results and recommendations to stakeholders and inform business decisions.
To be successful in this role, you will need:
- A PhD or Master's degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in building machine learning models and analyzing large datasets.
- Strong programming skills in Java, C++, Python, or related languages.
- Experience with Unix/Linux operating systems.
As a Data Scientist at Amazon, you will enjoy:
- A competitive salary of $160,000 - $250,000 per year.
- A comprehensive benefits package, including health insurance, retirement savings plan, and stock options.
- The opportunity to work on high-impact projects that drive business growth and customer satisfaction.
- A collaborative and dynamic work environment that fosters innovation and creativity.
Amazon is committed to diversity, equity, and inclusion. We believe that a diverse workforce is essential to our success and strive to create an inclusive culture where everyone feels valued and empowered to contribute their best work.
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