Degree in Computer Engineering
Java Programming, Leadership, Finance, Python Programming, SQL, Aartificial intelligence, Machine learning techniques, Data science techniques, Statistics
The Amazon Forecasting and Science for Talents team is a key partner to talent strategy and planning teams across Amazon World-Wide (WW) Consumer, providing essential insights to optimize decision making processes across critical talent initiatives. We forecast out for tens of thousands of hires a year, and talent plan for many more, driving WW initiatives to discover and enable hiring the right people at the right time and place. Our Science team focuses specifically on the creation of predictive and prescriptive approaches by leveraging Machine Learning (ML) and Artificial Intelligence (AI).
Do you want to help build and coordinate one of the largest Global Workforce on the planet through the adoption of applied science at Amazon? Are you excited by using massive amounts of disparate data to develop AI/ML models? Are you thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades? In this role you will closely partner with Amazon WW Ops, Finance, HR, and Talent Acquisition leadership teams, and with various engineering, data, and science teams across the company. Your goal will be to discover best in class approaches to help better understand and forecast talent movement and enable your customers to derive actionable plans from data.
We are looking for an Applied Scientist with expertise in time series forecasting who can work with senior leadership and also partner with highly technical experts to deliver applied science solutions. The Applied Scientist will be comfortable delivering applied science solutions and diving deep into implementing and testing efficient code to build and deploy predictive and prescriptive models on the AWS cloud. Finally, this person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year