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内推 Twilio Data Scientist# DataSciences - 数据科学
i*s
1
中新网8月20日电 据外媒报道,近日一名野生动物摄影师在匈牙利拍摄到了一组翠鸟入
水捕鱼的精彩镜头,翠鸟捕食时的精准、它俯冲时美丽的身姿和绚丽的羽毛都让人惊叹。
35岁的匈牙利摄影师乔(Joe)已有多年拍摄野生动物的经验。他说,拍摄的图片显示,
翠鸟在捕食时有着惊人的精准度,“翠鸟很少失手,如果盯上猎物,一般都会抓到它。
”但乔也表示,由于翠鸟狩猎的速度太快,想拍到它们捕食的瞬间也不容易,因此最重
要的是在刚刚好的时候按下快门。
乔说,由于翠鸟身体新陈代谢速度较快,它们每天必须吃下等同于体重60%的鱼,以维
持体力。为了吸引翠鸟,他也在水中放入小鱼做诱饵,自己则在岸边长时间等待。乔的
耐心付出得到回报,他已经因为拍摄的多组精彩照片获得多项摄影奖项。
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t*n
2
有兴趣的请发简历到: [email protected]/* */
Data Scientist
Data Science Team
About the Job:
We're looking for a great Data Scientist to join Twilio’s Data Science team
. Help us deepen our understanding of our customers’ needs, enhance
Internet-scale products and create fundamentally new kinds of systems, all
informed by your talents in software engineering, exploratory data analysis,
modeling and machine learning.
In this role, you will work with petascale data generated by thousands of
systems and growing rapidly every day . You’ll leverage your e xperience
in statistics, deep learning and predictive analysis of massive data sets.
You will make key technical decisions and modeling choices, as well as
writing amazing code, and you’ll provide actionable intelligence and
analysis to the business. You’ll apply data science tools and techniques
appropriately based on your judgment and intuition and your understanding of
human behavior. You’ll help build systems that detect fraudulent activity
and security intrusions, block spam, optimize our use of critical resources
and predict customer behavior.
In doing so you’ll help to realize our team’s mission of providing deep
insight, actionable intelligence and machine learning systems in a company
experiencing exponential growth and rapid-fire product rollouts used by
millions of people, every day, around the world. We expect and encourage you
to learn, grow and take on ever more ambitious challenges as the company
and team scales. This role is as intellectually demanding as it gets; if you
’re interested in tackling a real challenge, this is *the* job.
Responsibilities:
● Work with teams across Twilio, including the ETeam, helping them gain
true insight into their questions through advanced analytics.
● Aggregate, normalize and process data from disparate sources to gain
perspective on customer behavior, prevent and detect fraud and build
forecasting models.
● Thrive with imperfect, mixed, varied, inconsistent or otherwise messy
data sources, and are able to adapt your procedures to the context at hand
and make the best use of what you have.
● Leveraging your intuitive feel for product, you need to be able to
envision how a tool or approach could best fit the product need and present
your approach effectively.
● Produce automated high-level reports, dashboards, visualizations and ad
hoc analysis to empower various teams including R&D, Finance, Marketing,
Sales, Carrier Operations, Business Operations and Product.
● Collaborate with the rest of the Data Science team to deliver systems
leveraging your analysis.
Requirements:
● 3-5 years of academic or professional experience in statistics, data
science or other quantitative field.
● Masters (or equivalent) in statistics, mathematics or other quantitative
discipline.
● Hands-on experience with core data science algorithms for classification,
regression,
time-series analysis and various visualization techniques. You’ll need a
strong grasp of
probability theory.
● Expert knowledge in one or more of the following languages to wrangle and
understand
the data: SQL, R and Python+Scipy.
● You’ll be getting your hands dirty with data, so you should have
extensive Unix skills and
data mining skills. You’ve written a MapReduce job, queried MySQL, worked
with Spark
or extracted data from S3.
● Passionate about working with data at scale.
● You love to learn and constantly investigate new techniques and
methodologies.
● Enthusiasm for working in a high profile, fast-paced startup culture. We
ship products on
a daily basis, with tight schedules, small teams, and a very large user base.
● Passionate. Persistent. Creative. You have an ability to drive towards
actionable results. You find clever ways around problems, or just plow
through them. When you don’t know
it, you figure it out. You are a self-starter and you get things done -- you
are a DOer.
Bonus Points:
● Ph.D. in a quantitative or scientific field where you analyzed data
statistically.
● Academic experience in one or more of these fields: physics,
biostatistics, astrophysics,
computational chemistry, cognitive science or neuroscience, behavioral
economics,
econometrics, finance, mathematics or computer science.
● Familiarity with Java, Scala or C++.
● Experience with data visualization.
● DW/BI experience.
● You’ve developed software in a professional team setting following agile
software
development practices and continuous delivery.
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a*l
3
第一张时机太巧妙了。
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n*1
4
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y*u
5
第一张的影子看着不对啊,很诡异
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b*s
7
为什么?我看不出来。

【在 y**u 的大作中提到】
: 第一张的影子看着不对啊,很诡异
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b*s
9
第二张,鸟儿自备了潜水镜。
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a*s
10
精彩!
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a*s
11
还真是。

【在 b********s 的大作中提到】
: 第二张,鸟儿自备了潜水镜。
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l*e
12
精彩。
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k*h
13
其实没啥时机,就是拼命连拍

【在 a*****l 的大作中提到】
: 第一张时机太巧妙了。
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y*u
14
我觉得很不真实,鸟周围的阴影。。太近了,和多地方色彩反差也太大了。也许是摄影
效果,这个我就不懂了

【在 b********s 的大作中提到】
: 为什么?我看不出来。
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c*e
15
这是nictitating membrane,鸟用来保护眼睛的半透膜。经常能拍到,特别是捕食时。

【在 b********s 的大作中提到】
: 第二张,鸟儿自备了潜水镜。
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i*s
16
你观察的很仔细,经你一提醒,鸟的阴影确实奇怪啊!

【在 y**u 的大作中提到】
: 我觉得很不真实,鸟周围的阴影。。太近了,和多地方色彩反差也太大了。也许是摄影
: 效果,这个我就不懂了

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h*h
17
记得翠鸟入水捕鱼的不少照片是用鱼缸拍的,缸放在翠鸟出没的地方,鱼缸里放了鱼,
布置好了后,就等拍了。
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h*h
18
是闪光灯。拍的时候鸟在收翅,是快门打开以后过了一会,闪光灯到最高亮度,把鸟照
亮了。 之前的收翅过程只留下阴影。

【在 i*****s 的大作中提到】
: 你观察的很仔细,经你一提醒,鸟的阴影确实奇怪啊!
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i*s
19
原来如此,难怪背景这么近,还这么干净。

【在 h*h 的大作中提到】
: 记得翠鸟入水捕鱼的不少照片是用鱼缸拍的,缸放在翠鸟出没的地方,鱼缸里放了鱼,
: 布置好了后,就等拍了。

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y*u
20
哦,这样

【在 h*h 的大作中提到】
: 是闪光灯。拍的时候鸟在收翅,是快门打开以后过了一会,闪光灯到最高亮度,把鸟照
: 亮了。 之前的收翅过程只留下阴影。

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k*h
21
对,白鹭啥的都有

【在 c********e 的大作中提到】
: 这是nictitating membrane,鸟用来保护眼睛的半透膜。经常能拍到,特别是捕食时。
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k*h
22
我觉得就是motion blur,这种高速下如果用闪光灯肯定是连续输出的

【在 h*h 的大作中提到】
: 是闪光灯。拍的时候鸟在收翅,是快门打开以后过了一会,闪光灯到最高亮度,把鸟照
: 亮了。 之前的收翅过程只留下阴影。

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b*s
23
越讨论越清楚了。
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c*e
24
我也记得是连拍之后, 挑出来的照片

【在 k**h 的大作中提到】
: 我觉得就是motion blur,这种高速下如果用闪光灯肯定是连续输出的
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y*u
25
我觉得照片奇怪主要有两点,一个是背景感觉没有depth,第二个是从光的角度,看翅
膀部分似乎光是从偏右边来的,可是看头部却是沿着左侧有一条亮线。
总而言之很不自然,不像仅仅是motion blur的原因。

【在 k**h 的大作中提到】
: 我觉得就是motion blur,这种高速下如果用闪光灯肯定是连续输出的
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a*s
26
这个词都知道,佩服!

【在 c********e 的大作中提到】
: 这是nictitating membrane,鸟用来保护眼睛的半透膜。经常能拍到,特别是捕食时。
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a*s
27
这有点投机取巧啊,不能再说是自然摄影了吧?

【在 h*h 的大作中提到】
: 记得翠鸟入水捕鱼的不少照片是用鱼缸拍的,缸放在翠鸟出没的地方,鱼缸里放了鱼,
: 布置好了后,就等拍了。

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a*s
28
听着合理。

【在 h*h 的大作中提到】
: 是闪光灯。拍的时候鸟在收翅,是快门打开以后过了一会,闪光灯到最高亮度,把鸟照
: 亮了。 之前的收翅过程只留下阴影。

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a*s
29
原来是这样。

【在 k**h 的大作中提到】
: 我觉得就是motion blur,这种高速下如果用闪光灯肯定是连续输出的
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a*s
30
回去看,果然有道理,都是高人。

【在 y**u 的大作中提到】
: 我觉得照片奇怪主要有两点,一个是背景感觉没有depth,第二个是从光的角度,看翅
: 膀部分似乎光是从偏右边来的,可是看头部却是沿着左侧有一条亮线。
: 总而言之很不自然,不像仅仅是motion blur的原因。

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