JP: none
Job Description
At Amazon, we're working to be the Earth’s most customer-centric company. The goal of JP Last Mile Technology Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space.
JP Last Mile Technology Team is seeking a Senior Data Scientist to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping last mile space, based in Tokyo, Japan. As Senior Data Scientist you will work closely with other research scientists, machine learning experts, and economists worldwide, to design and run experiments, research new algorithms, and find new ways to improve last mile analytics to optimize the Customer experience. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.
Science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon worldwide.
About the team
Last Mile Execution Analytics (LMEA) team of JP works as an integral part of Amazon Logistics to ensure that its business intelligence, analytics, tools and planning needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of Amazon Logistics. Our customer set includes senior management, station operations, external vendors, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in Amazon Logistics.
Responsibilities
- Understanding drivers, impacts, and key influences on last mile delivery dynamics
- Drive actions at scale to provide low prices and increased selection for customers using scientifically-based methods and decision making
- Helping to build production systems that take inputs from multiple models and make decisions in real time
- Automating feedback loops for algorithms in production
- Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
- Utilizing Amazon systems and tools to effectively work with terabytes of data
Qualifications
Preferred Qualifications
- A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
- 10+ years of experience working in data science in a consumer product company
- 5+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists
- Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, ElasticNet
- Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker
- Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing
- Deep understanding of data, application, server, and network security
- Successful record of developing less experienced team members to a successful career track.
Please check the website below for measures to eliminate unwanted second-hand smoking in each facility:
https://www.amazon.jobs/en/landing_pages/passivesmoking
About the Company
What unites Amazon employees across teams and geographies is that we are all striving to delight our customers and make their lives easier.
The scope and scale of our mission drives us to seek diverse perspectives, be resourceful, and navigate through ambiguity. Inventing and delivering things that were never thought possible isn't easy, but we embrace this challenge every day.
By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.