Amazon is hiring: Lead Applied Scientist, Advertising Solutions in Arlington

Be Part of Amazon Advertising's Growth Journey!

Join us at Amazon Advertising, an exciting and rapidly expanding division dedicated to creating innovative advertising solutions for merchants, retail vendors, and brand owners. Our mission is to enhance product discovery and sales on Amazon while delivering an exceptional shopping experience for customers.

As a Lead Applied Scientist, you'll have the opportunity to:

• Take charge of advanced Machine Learning initiatives, leading both your team and collaborative efforts across departments.
• Engage in hands-on analysis and modeling of vast data sets to extract insights that drive traffic monetization and boost merchandise sales, all while ensuring shopper satisfaction remains a top priority.
• Oversee and manage complex, large-scale Machine Learning projects from inception to completion, adeptly navigating ambiguity to achieve significant outcomes.
• Design, develop, and implement cutting-edge machine learning models, conduct proof-of-concept trials, optimize workflows, and work alongside software engineers to effectively deploy models into production.
• Supervise A/B testing, guide data collection efforts, and carry out comprehensive statistical analyses.
• Establish scalable and automated processes for extensive data analysis, model development, validation, and deployment.
• Explore and innovate new methodologies in the field of machine learning.
• Play a pivotal role in recruiting talented Applied Scientists to your team while providing mentorship and guidance.

Why You Should Be Interested:

Amazon is heavily investing in creating a premier advertising business, and you'll be at the forefront, developing advertising products that promote discovery and drive sales. Your contributions will directly impact our revenue streams and shape the future of our Retail and Marketplace offerings. We foster a highly motivated, collaborative, and innovative environment that encourages experimentation and creativity.

Your Impact and Career Advancement:

In this role, you'll influence customer shopping experiences and assist suppliers in advancing their retail businesses through native advertising. You will have the opportunity to craft a long-term scientific vision for our advertising business, aligning it with customer needs and translating it into actionable research and applied science strategies, alongside engineering and product teams. This position combines scientific leadership, organizational skills, technical expertise, product focus, and a keen understanding of business dynamics.

Basic Qualifications:

• A minimum of 3 years' experience in building machine learning models specifically for business applications.
• A PhD or a Master's degree accompanied by 6+ years of applied research experience.
• Strong programming skills in languages such as Java, C++, Python, or similar.
• Demonstrated experience with deep learning methods and machine learning techniques.

Preferred Qualifications:

• Familiarity with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
• Experience with large-scale distributed systems like Hadoop or Spark.

We are committed to diversity and fostering an inclusive culture.

This position encourages safe, collaborative work while maintaining a focus on excellence under pressure, effective communication for exceptional customer service, and adherence to relevant laws and company policies.

The compensation for this role varies by location, ranging from $150,400 to $260,000 per year. Compensation is based on market location, job-related knowledge, skills, and experience. Total compensation may include equity, sign-on bonuses, and a comprehensive benefits package.

This position is open until filled. Please submit your application through our career site.