Amazon

DESCRIPTION

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.

We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Applied Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.

This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.

Responsibilities may include:

• Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
• Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
• Managing multiple projects simultaneously
• Working with technology teams and product managers to develop new tools and systems to support the growth of the business
• Communicating with and supporting various internal stakeholders and external audiences

About the team

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner

BASIC QUALIFICATIONS

• 6+ years of building machine learning models for business application experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 15+ years of relevant, broad research experience
• Deep expertise in Machine Learning
• Proficiency in programming
• core competency in mathematics and statistics.
• Track record of successful projects in algorithm design and product development.
• Publications at top-tier peer-reviewed conferences or journals.
• prior experience with mentorship and/or management of scientists
• Thinks strategically, but stays on top of tactical execution.
• Exhibits excellent business judgment; balances business
• Effective verbal and written communication skills
• Experience working with real-world data sets and building scalable models from big data.
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
• Experience with large scale distributed systems

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.