w******H
发帖数: 53 | 1 Netflix 在招Data Scientist。Recruiter刚刚联系我，但是我目前无法relocate去CA
。分享给感兴趣的同学们。他们基本上是要PhD，听意思感觉不止一个DS空位。有兴趣
的直接网申吧。声明一下：我
和该HR及此position没有任何经济利益相关:)
Title:Senior Data Scientist - Streaming Science & Algorithms
Location: Los Gatos, California
job link: https://jobs.netflix.com/jobs/456
Netflix is revolutionizing entertainment. We deliver over a billion hours of
streaming per month of movies and TV shows to more than 80 million members
globally. Our data-driven culture allows us to continuously innovate and
provide the best experience for our members. We are at the forefront of
using advanced mathematical models and algorithms on big data to personalize
the experience that every member has, and our scientists and engineers are
constantly looking for new ways to improve the state of the art. Netflix
data science is a unique combination of big data, algorithms, and
entertainment: where else do you get to work on big data and win fourteen
Emmys (four for technical achievement), two Golden Globes, and earn back to
back Oscar nominations!
The Science and Algorithms team at Netflix is a talented group of
researchers from various disciplines, who work on interesting problems from
different parts of the company. This position is in the Streaming Science
and Algorithms team that is actively working on ways to improve the
streaming Quality of Experience (QoE) for our members using algorithms
applied to big data. Problems we tackle are diverse and range from
optimizing the streaming algorithms to working with the digital supply chain
that goes all the way to the studios in Hollywood! The streaming QoE space
is still nascent and as part of our team, you will have the opportunity to
do groundbreaking applied research that will shape the industry. Check out
the following posts to learn more about our approach and some of the
problems we're working on:
Optimizing the Netflix Streaming Experience with Data Science
Turning Data into a Better Viewing Experience
Optimizing Content Quality Control at Netflix with Predictive Modeling
We are in need of a creative thinker with deep expertise in machine learning
and statistics. You will work with amazing colleagues, brainstorm new ideas
, and develop models and algorithms to solve challenging problems that have
a substantial impact on the product, business, and millions of our members
around the globe.
Qualifications
PhD in Machine Learning, Statistics, Computer Science, Operations Research,
Engineering, Mathematics or related field.
4+ years relevant experience with a proven track record of leveraging
analytics and large amounts of data to drive significant business impact.
Expertise in machine learning and statistical modeling.
Strong algorithmic thinking and independent research ability.
Proficient at translating unstructured business problems into an abstract
mathematical framework.
Exceptional interpersonal and communication skills, including the ability to
describe the logic and implications of a complex model to all types of
business partners.
High-energy self-starter with a passion for your work, attention to detail,
and a positive attitude. | w******l
发帖数: 34 | 2 请问下楼主是哪一个方向的phd啊 怀疑他们只招ml的？ | S******y
发帖数: 1123 | 3 I happen to know the hiring manager, who has a PhD in statistics from
Stanford.
【在 w******l 的大作中提到】
: 请问下楼主是哪一个方向的phd啊 怀疑他们只招ml的？
| w******H
发帖数: 53 | 4 我自己是general statistics背景的。他们DS组大概有40-50人，有偏编程的，有偏算
法的，有偏统计的。背景也是很杂，有biostat的，有物理的，有cs的。我的感觉，他
们这次不只招ML的，不然hr找我肯定找错了。当然，确切的信息还得和HR聊，我只是和
大家分享一下我了解的信息而已。你有兴趣的话，给我私信，我把hr的联系方式给你吧。
【在 w******l 的大作中提到】
: 请问下楼主是哪一个方向的phd啊 怀疑他们只招ml的？
| d******g
发帖数: 22 | 5
CA
of
members
【在 w******H 的大作中提到】
: Netflix 在招Data Scientist。Recruiter刚刚联系我，但是我目前无法relocate去CA
: 。分享给感兴趣的同学们。他们基本上是要PhD，听意思感觉不止一个DS空位。有兴趣
: 的直接网申吧。声明一下：我
: 和该HR及此position没有任何经济利益相关:)
: Title:Senior Data Scientist - Streaming Science & Algorithms
: Location: Los Gatos, California
: job link: https://jobs.netflix.com/jobs/456
: Netflix is revolutionizing entertainment. We deliver over a billion hours of
: streaming per month of movies and TV shows to more than 80 million members
: globally. Our data-driven culture allows us to continuously innovate and
|
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