Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Job summary
Amazon is solving some of the world's toughest problems, and we are customer (and candidate obsessed) when it comes to scaling the hiring process for one of the planet’s largest workforces. We are asking questions like: How do we hire the right number of associates at the right time? How do we handle hundreds of thousands, or even millions of applications, while ensuring the job search process is friction-free for applicants? How do we match the right job to right associate while providing flexibility to work across different job types and time of the day?
In response to those questions, our team of tenured Amazonians and industry talent is using native AWS technologies to build a new, mobile-first hiring solution from scratch. Applicants will use this system to begin their journey with Amazon from initial job search, through the interview process, to Day 1 onboarding in our fulfillment centers and beyond. Along the way, we are experimenting with the latest technologies and ML to make the hiring process better for hundreds of thousands of future Amazonians. Our hourly workforce is Amazon’s foundation – we cannot deliver for our customers without them. Join and help us build the workforce of the future.
We are looking for an experienced and motivated Data Scientist (DS) with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution. Develop and produce balanced technical and business insights that allows our product organization to understand candidate behavior and labor markets, to make product decisions that increase the efficiency of our hiring pipeline and improve candidate experience.
The successful Data Scientist will have extreme bias for action needed in a startup environment. Work across multiple hiring programs and initiatives to un-earth opportunities, design and perform statistical experiments and build analytical systems/tools while striving for simplicity, and demonstrating creativity and judgment backed by statistical proof. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology that powers Amazon high volume hiring. We seek someone who can also demonstrate a high degree of ownership, insist on the highest standards and consistently deliver superior quality results on-time.
Additional Responsibilities include:
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
The base pay range for this position in Colorado is $132,500 - $179,200 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
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.
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Santa Monica, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year