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 on creating predictive and prescriptive approaches by leveraging statistical techniques, simulations, 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 data science at Amazon? Are you excited by ML and AI and 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 a Data Scientist with experience in time series forecasting who can work with senior leadership and also partner with technical experts to deliver predictive and prescriptive solutions. The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed 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.
· 4+ years of hands-on experience in predictive modeling and statistical analysis · 2+ years of experience in an ML Engineer or Data Scientist role building and deploying ML models on the cloud, including advanced deep learning models · Subject Matter Expertise in time series forecasting · Experience writing code in Python or similar with impeccable documentation for efficient knowledge sharing and reproducibility · Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment · Excellent communication skills with ability to explain complex technical concepts to non-technical audience while also efficiently interacting with technical peers
· Master’s degree or PhD in a highly quantitative field (Computer Sciences, Machine Learning, Statistics, Applied Mathematics, Operational Research, etc) · Experience practicing ML on the cloud and quickly cycling through ML initiatives at scale · Ability to develop strategic, baselined, data modeling processes, and to efficiently determine cause-and-effect relationships · Experience with dev/ops setting up ML infrastructures on the cloud · Experience in People/HR/Talent or Supply Chain is a plus · Publications or presentations in recognized ML journals or conferences is a plus · Ability to work on a diverse team or with a diverse range of coworkers
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 We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.