Applied Scientist, Discovery Tech Innovator

hace 17 horas

Barcelona, Barcelona, España Amazon A tiempo completo
Job Title: Applied Scientist, Discovery Tech

About the Role:

We are seeking an exceptional Applied Scientist to join our Discovery Tech team at Amazon. As an Applied Scientist, you will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising.

Key Responsibilities:

  • Design, develop, test, and deploy data-driven and highly scalable machine learning solutions in product recommendation.
  • Collaborate with Sr. scientists and Amazon Scholars to create state-of-the-art AI solutions to rank both customers' purchase journeys and ASINs using scalable big data tools.
  • Engage with product and marketing stakeholders directly to explain and dive deep into problems, which are often not well defined.
  • Review A/B experiment setup, customer problems, hypothesis, method, and impact metrics to ensure that business objectives are met.

About You:

We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders.

Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities.

What You'll Bring:

  • Strong background in machine learning, data science, and statistics.
  • Experience with big data tools and scalable machine learning solutions.
  • Excellent communication and problem-solving skills.
  • Ability to work collaboratively with cross-functional teams.

What We Offer:

At Amazon, we offer a dynamic and supportive work environment that fosters innovation and growth. As an Applied Scientist, you will have the opportunity to work on cutting-edge projects, collaborate with talented colleagues, and develop your skills and expertise.

How to Apply:

If you are a motivated and talented individual who is passionate about data science and machine learning, we encourage you to apply for this exciting opportunity.

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