r*****e
发帖数: 264 | 1 回报一下大家，提供公司stat组的内部推荐，请将简历寄到 newchaoz at gmail
其他职位也可以内推 https://www.quickenloanscareers.com/web/openings/default.
aspx
谢谢！ | r*****e
发帖数: 264 | 2 回答下大家的问题，地址在底特律，职位可以senior也可以junior，不需要工作经验（
就算JD上面写了要），但是必须对model有比较好的了解，然后对于variable
selection, missing value, predictive modeling等实际问题有些经验。 | r*****e
发帖数: 264 | 3 这是modeler的JD，比较雷人。：）
Statistician – 3 Openings
Detroit
Within a higher plane of understanding than mere mortals can conceive, it is
somehow predetermined that the statistician or data modeler is to be
permanently confined to the dreary corners of offices where other more
socially adjusted individuals can easily steer clear of interaction.
Original thought is shunned allowing mental numbness to set in. We are all
too aware of these general broad-brush descriptions of deep thinking
decision scientists and we believe that there's a better way.
Be forewarned. If you are numb to new ideas, simply enjoying your skill at
drawing a precise line from unwarranted assumptions to foregone conclusions,
then this is not the job for you. If thinking inside the box brings you the
comfort of your childhood binky and you don't want to let it go, then this
is not the job for you.
We need informavores with the quantitative skills of the Heart of Gold's
infinite improbability drive, the mental dexterity of a wet-wired Watson,
and the creative drive of masterful artists like Beethoven, da Vinci and
Zappa. You need to cherish original thought with a passionate focus on
execution. We are looking for those outliers that just haven't found their
distribution yet. Finally, we absolutely need the individuals that
understand and appreciate the humorous, cultural and field-specific
references herein.
Primary Duties and Responsibilities (apparently we need to stop having fun
for a moment):
The statistical analyst and data modeler works with business owners and
Business Intelligence team members to provide deep analysis and guidance on
crucial business opportunities across many areas within the company. They
draw upon their knowledge and experience in applied statistics, data mining,
modeling, and forecasting to ensure that results are accurate and clear
providing actionable opportunities for business leaders. Analysts must be
detail oriented and highly aware of the impact of their analysis across the
company. They take initiative, focused on finding innovative solutions for a
myriad of business challenges.
Job Description (but seriously, did you catch the HHGTTG reference?)
- Collect data for ad-hoc and statistical analysis
- Clean data in preparation for analysis and modeling
- Perform statistical summaries and tests for relevant business questions
- Develop predictive statistical, behavioral or other models
- Perform statistical testing to enhance the predictability of deployed
models
- Deploy applicable models for business use
- Summarize conclusions and solutions for presentation
- Develop strong relationships with subject matter experts
Preferred Experience and Skills (with two S's for that extra dose of awesome)
- BA/MS in statistics, other applied science field, or equivalent experience
- Advanced hands-on experience with all Microsoft Office software
- Considerable experience with statistical tools (e.g. SAS, SPSS, Minitab, R
) and methods to incorporate statistical results into analyses
- Experience with data modeling and forecasting
- Working knowledge of standard querying with SQL
- Exposure to data mining tools and techniques
- 2+ years workplace experience
- Proven track record as a lead resource for the business
- Strong oral and written communication skills
Personality Traits (yes, we expect our candidates' personalities to be
better than those developed by the Sirius Cybernetics Corporation.)
- High sense of awareness
- Take initiative
- Work equally well individually or as part of a team
- Focused on listening
- Aptitude for new concepts, especially as they relate to technology and
analytics
- Creative
- Curious
- Flexible and adaptable
- Adonis DNA
Statistics (not made up at all)
- Adaptations of traditional statistical humor and quips - 2
- References to the Hitchhiker's Guide to the Galaxy - 4 (including
abbreviation reference and this reference to those references)
- Use of terms not yet adopted by Merriam-Webster - 1
- Movie references - 2 (3 if you include the movie version of that which is
referenced in bullet 2)
- Creative combination of a current-day AI system with science fiction
technology - 1
- Reference to expired artists - 4 (3 named, 1 inferred)
- References not summarized here - 1 (well... now 0)
- Seriousness in finding the best candidate - p < 0.00000001 | r*****e
发帖数: 264 | 4 这是data scientist的JD，和statistician的区别是要懂machine learning。
The Data Scientist will delve into the recesses of large data sets of
structured, semi-structured, and unstructured data to discover hidden
knowledge about our business and develop methods to leverage that knowledge
within our line of business. The successful candidate will combine strengths
in mathematics and applied statics, computer science, visualization
capabilities, and a healthy sense of exploration and knowledge acquisition.
Responsibilities
• Work closely with various teams across the company to identify
and solve business challenges utilizing large structured, semi-structured,
and unstructured data in a distributed processing environment.
• Develop predictive statistical, behavioral or other models via
supervised and unsupervised machine learning, statistical analysis, and
other predictive modeling techniques.
• Drive the collection of new data and the refinement of existing
data sources.
• Analyze and interpret the results of product experiments.
• Collaborate with the engineering and product teams to develop and
support our internal data platform to support ongoing analyses.
Requirements
• M.S. or Ph.D. in a relevant technical field (e.g. applied
mathematics, statistics, physics, computer science, operations research), or
3+ years experience in a relevant role.
• Extensive experience solving analytics problems using
quantitative approaches.
• A proven passion for generating insights from data.
• Strong knowledge of statistical methods generally, and
particularly in the areas of modeling and business analytics.
• Comfort manipulating and analyzing complex, high-volume, high-
dimensionality data from varying sources.
• Ability to communicate complex quantitative analysis in a clear,
precise, and actionable manner.
• Fluency with at least one scripting language such as Python, Java
, or C/C++.
• Familiarity with relational databases and SQL.
• Expert knowledge of an analysis tool such as R, Matlab, SAS, Weka
with the ability to transfer that knowledge to different tools.
• Experience working with large data sets, experience working with
distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.). | r*****e
发帖数: 264 | 5 这是data engineer，要懂hadoop和mapreduce
Data Engineer – 2 openings
Detroit
The Data Engineer be responsible for ensuring that large sets of structured,
semi-structured, and unstructured data are positioned and available in a
distributed cluster to provide advanced analytics and new insights that
allow the business to make data driven decisions. This engineer will
develop data processing and integration solutions within a Hadoop
environment. In addition to processing and integration, this engineer will
be working with Data Scientists to analyze large data sets and assist in the
administration of a Hadoop cluster. The successful candidate will possess
a background in software/database development, experience with the Hadoop
eco-system, an interest in analytics, and an overall passion for all things
data.
Responsibilities
• Work closely with various teams across the company to identify
and solve business challenges utilizing large structured, semi-structured,
and unstructured data in a distributed processing environment.
• Develop ETL processes to populate a Hadoop cluster with large
datasets from a variety of sources and integrate the cluster with an
existing business intelligence/data warehouse environment.
• Create MapReduce programs, UDFs, etc. to assist in the processing
and analysis of large datasets.
• Assist with Hadoop administration to ensure the health and
reliability of the cluster.
• Support Data Scientists and the development of data queries,
statistical analysis, machine learning, and predictive modeling against
large data sets.
Requirements
• BS degree in Computer Science or in a relevant technical field (
math, science, etc.).
• Experience developing within the Hadoop eco-system (HDFS,
MapReduce, Pig, Hive, HBase, Mahout, etc.).
• Experience in addressing performance and scalability issues in a
large-scale data storage environment.
• 2+ year experience with an object oriented language such as Java,
Python, C#, C++, etc.
• 1+ year experience with SQL and relational databases.
• Excellent analytic and research skills.
• Strong written and verbal communication skills.
• Experience with Microsoft SQL Server is a plus.
• Experience with statistical analysis, predictive modeling,
machine learning, and analysis tools (R, SAS, etc.) is a plus. | w******a
发帖数: 986 | 6 为啥觉得要求都这么高呢？fresh graduate都知道这么多吗？ | k*******a
发帖数: 772 | 7 haha这个太雷人了
is
【在 r*****e 的大作中提到】
: 这是modeler的JD，比较雷人。：）
: Statistician – 3 Openings
: Detroit
: Within a higher plane of understanding than mere mortals can conceive, it is
: somehow predetermined that the statistician or data modeler is to be
: permanently confined to the dreary corners of offices where other more
: socially adjusted individuals can easily steer clear of interaction.
: Original thought is shunned allowing mental numbness to set in. We are all
: too aware of these general broad-brush descriptions of deep thinking
: decision scientists and we believe that there's a better way.
| s******0
发帖数: 1269 | | w**p
发帖数: 4080 | | r*****e
发帖数: 264 | 10 要求大家都写的很高，就跟简历注水一样，JD也是会注水的。不过我们上周开会的时候
，有人抱怨简历注水太厉害了，上面写了许多，可是问到细节就呆掉了。
所以其实简历也不需要列太多东西了。头说的我们要的是trainable的人。
然后，如果被问住了，不要ｐａｎｉｃ，完全可以说，我以前做过，但是现在想不起来
所有的细节了。比如说，像我这样的弱人，被问到啥是ｐ ｖａｌｕｅ的时候，我真的
一下子想不起来啦。于是我说，我想不起来了。但是ｒｕｌｅ ｏｆ ｔｈｕｍｂ是ｐ
ｖａｌｕｅ要小，最好小于５％。
各位是不是眼镜掉了一地：这样也行？
所以心态最重要，然后是把简历上ｃｌａｉｍ的所有东西的细节一定要弄明白。要是你
说有某种经历，真的会被问道很细节的东西的。不一定是书本上的细节，而是实际操作
的细节，比如说要是８０％的ｍｉｓｓｉｎｇ ｖａｌｕｅ该怎么办等等。有些问题比
如说ｂｒａｉｎ ｔｅａｓｅｒ很ｏｐｅｎ的，不用太在意回答是否正确。记住我们要
的是ｔｒａｉｎａｂｌｅ的人，有点幽默感的最好（那个雷人的ＪＤ就是我们的头写的
），没有也不用强求。
最后，我们喜欢用条件概率的难题来ｒａｉｓｅ ｂａｒ，有空多看看哦。
已经收到的简历我会从周一开始，按时间顺序每天投２到３封。谢谢大家！ | | | h***y
发帖数: 162 | | r*****e
发帖数: 264 | 12 抱歉，我不是ＨＲ，不知道平均薪水。我所知道的ｎｅｗ ｇｒａｄ，硕士６万，博士
８万。
【在 h***y 的大作中提到】
: 请问薪水大概有多少？
| r*****e
发帖数: 264 | 13 各位好，
我已经收到了超过30封stat简历了，不能再接收了。不好意思啦。不过我可以把你的简历
投给我用过的猎头，至少他成功的帮我搞定了QL。 | w******a
发帖数: 986 | 14 麻烦问一下，这些职位什么时候安排电话面试？有没有也好心里有个数。多谢了。 | r*****e
发帖数: 264 | |
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