Postdoctoral Scientist

Amazon; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading tech company in Barcelona is seeking a Postdoctoral Scientist for a full-time research role. You will work on Demand Forecast for Scheduling and Capacity Management, utilizing your expertise in machine learning and optimization. Candidates should have a recent PhD and a strong publication record. This is an opportunity to contribute to innovative research that enhances customer experience and operational efficiency.

Formación

• Proven publication record in Machine Learning, Robotics, Computer Vision, AI, etc.
• Experience in data science and quantitative research.
• Proficiency in technologies relevant to the subfield.

Responsabilidades

• Work closely with a senior science advisor and collaborate with other scientists.
• Publish innovation in top-tier academic venues.
• Invent cutting-edge techniques in your area(s) of expertise.

Conocimientos

Machine Learning

Data Science

Quantitative Research

Robotics

Computer Vision

Educación

PhD in a relevant field

Herramientas

Statistical Analysis Software

Programming Languages (e.g., Python, R)

Descripción del empleo

Overview

Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position.

The EU Science and Technology (SnT) team owns scalable algorithms, models and systems that improve customer experience in middle-mile. We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable with the technological advances we offer. To that end, we split our time between short-term deliveries focused on business and long-term research that prepare Amazon for the future. Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. In this position we focus on Demand Forecast for Scheduling and Capacity Management, which includes the subproblems of origin-destination forecasting, week over week end-to-end network demand flow estimation, hour per hour forecast refresh.

We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers.

Responsibilities

In this role you will :

• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.
• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

BASIC QUALIFICATIONS

• PhD in a relevant field, received within 2 years of starting the program
• Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
• Experience in data science and quantitative research
• Proficiency in technologies relevant to the subfield

PREFERRED QUALIFICATIONS

• Ability to independently deliver results in a fast-paced environment
• Publications at top-tier, peer-reviewed conferences and / or journals
• Exceptional verbal and written communication skills
• Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Equal Opportunity

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and