Data Scientist II

Amazon delights customers around the world with millions of products each day. Meet the team that is transforming how quickly and conveniently Amazon delivers that delight to its customers. The Amazon Access Points team designs and builds new ways for people to get the things they order online, through a growing network of hundreds of thousands of physical pickup point locations worldwide. Our locker and counter products offer customers greater security, flexibility, and control, while reducing transportation costs and environmental footprint. Beyond customer convenience, Amazon Access Points network offers brands differentiated advertising opportunities to build awareness and convert new users through our growing advertising products.

We are looking for a data scientist to work across our science team to drive the worldwide expansion of Access Points.

This position will work with a highly collaborative team, and have direct influence over science roadmaps, establishment of key performance metrics, dashboards and report development. This role will be responsible for working with senior leadership and cross functional teams within Access Points and ensure a customer centric point of view in our models. They will solve real world problems and build science models to improve decision making.

A day in the life



About the hiring group



Job responsibilities

· Help shape analytics and research roadmap and enable data-driven innovation for Access Points.
· Partner closely with product and program owners, as well as scientists and engineers with a clear path to business impact.
· Participate in scoping and planning of Access Points science roadmap.
· Uncover drivers, impacts, and key influences on Access Points network.
· Develop predictive and optimization models for key applications.
· Navigate a variety of data sources, such as enterprise data, customize surveys, focus groups, and/or external data sources.
· Work in expert cross-functional teams delivering on demanding projects.

Basic Qualifications

· A Master’s degree or foreign equivalent in Computer Science, Artificial Intelligence, Computer Science, Statistics, Math, Operations Research, Finance or other quantitative fields and 2 years of experience. In the alternative, a Bachelor’s degree or foreign equivalent in Computer Science, Artificial Intelligence, Computer Science, Statistics, Math, Operations Research, Finance or other quantitative fields followed by 5 progressively responsible years of experience.

Preferred Qualifications

· 2 years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab).
· 2 years of experience applying statistical algorithms and models to solving applied problems.
· 2 years of experience analyzing large scale of data, and SQL data extraction.
· 2 years of experience mining unstructured data and transforming data into a usable state using appropriate tools and techniques.