Principal Research Scientist, Amazon
Job Details
Full Job Description
Job ID: 2620420 | Amazon Asia-Pacific Holdings Private Limited
We are seeking a Principal Research Scientist to lead machine
learning science and products in Amazon Japan's Logistics Science
Division. Amazon Japan has one of the fastest and most advanced
fulfilment networks in the world. The newly founded science division
brings economic science, machining learning, and operations research
together to run our logistics even more efficiently. We look forward
to partnering with you on this journey and bringing the efficiency to
delight our customer.
In this role, you will build
production-grade machine learning models to serve best-in-class
shopping and delivery experience to millions of customers on Amazon.
This requires you to formulate ambiguous business problems into
solvable scientific problems, work with large-scale data pipelines,
perform extensive data cleaning and exploration, train and evaluate
your models in a robust manner, design and conduct live experiments to
validate model performance, and automate model inference on AWS
infrastructure.
The ideal candidate is an experienced data
scientist or machine learning engineer who has built machine learning
systems in production that delivers business impact at scale in a B2C
industry. You are a self-starter who enjoys ambiguity in a fast-paced
and ever-changing environment. You are extremely proficient in Python,
SQL and distributed computing frameworks. You have excellent
understanding of how machine learning models work under the hood. In
addition, you may have worked with AWS infrastructure and causal
uplift modeling techniques. You think big on the next game-changing
opportunity but also dive deep into every detail that matters. You
insist on the highest standards and are consistent in delivering
results.
Key job responsibilities
Work with Product, Finance
and Engineering to formulate business problems into scientific
ones
Build large-scale data pipelines for training and evaluating
the models using PySpark/SparkSQL
Extensively clean and explore the
datasets
Train and evaluate ML models in a robust manner
Design
and conduct live experiments to validate model performance
Automate
model inference and monitoring and on AWS infrastructure
We are
open to hiring candidates to work out of one of the following
locations:
Singapore, SGP
- 10+ years of tech industry or equivalent
experience
- PhD in a quantitative discipline such as statistics,
mathematics, economics, computer science, or any related quantitative
field
- Experience working effectively with science, data
processing, and software engineering teams
- Experience implementing models and tools through the use of high-level modeling languages (AMPL, Mosel, R, Matlab, Julia)
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.
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