Senior Data Scientist, Transportation Volume Planning

Key Skills

AWS, Data pipelines, Data science techniques, Logistic Regression, Mathematics, MATLAB Programming, Python Programming, QuickSight, R Programming, SAS, SQL, Statistics, Tableau

Job Description

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfillment on customer orders so that we fulfill all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.

The Transportation Volume Planning team owns and operates ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using big data technologies, cutting edge science, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.

We’re looking for a passionate, results-oriented, and inventive Senior Data Scientist who can create and improve ML models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative OR and ML models for solving complex business problems in the area of outbound transportation planning systems. More specifically, you will be developing a Mathematical Optimization model towards short term Origin-Destination flows that are inventory aware and adhere to facility capacities given destination demand. This will also require you to build machine learning models to predict inventory N weeks out (N<13 Weeks) and ML models to calibrate inventory bounds and math model errors. You will work closely with our product managers and software engineers to disambiguate complex supply chain problems and create ML solutions to solve those problems at scale. You will directly impact our direct customers, and even play with big data and incredible scale in the background.

The position is located at Bellevue, WA, just next to Seattle with beautiful outdoors and great city life.

Watch http://bit.ly/amazon-scot to get the big picture.

Key job responsibilities

As part of your daily work you will:

• Analyze and extract relevant information from large amounts of data to help automate and optimize key processes.
• Design, development and evaluation of highly innovative ML models for solving complex business problems.
• Research and apply the latest ML techniques and best practices from both academia and industry.
• Think about customers and how to improve the customer delivery experience.
• Use and analytical techniques to create scalable solutions for business problems.
• Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
• Technically lead and mentor other scientists in team.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

A day in the life

This is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within it's logistics network including Fulfillment Centers, Air Stations, Sort Centers, Delivery Stations, and more. You will need to meet with many internal customers to understand their business and their challenges as you develop an effective solution to enable us to collectively scale. Our leadership is very interested in this effort so you will find lots of opportunities to get your ideas and plans in front of them for evaluation and alignment.

About the team

The Transportation Volume Planning organization is responsible for a number of critical forecasting tools and foundational technology leveraged across Amazon operations. We are responsible for predicting the future accurately and enabling Amazon to deliver customer orders in a cost-effective and delightful way.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

BASIC QUALIFICATIONS

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
• Experience with developing Linear Programming models and hands on Operations Research experience is a plus

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.