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[DataScience] 解析几个IT公司,统计背景的人可以做的job description

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小K 发表于 2014-1-6 10:59:59 | 显示全部楼层 |阅读模式


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非IT公司的business analytics要求跟这个估计是显著不同啊,这个职位集成了biz analytics & IT data scientist的精髓,看的我内牛满面


linkedin :Business Analytics -Data Mining, Associate/Staff

Job descriptionLinkedIn’s Business Analytics team uses data analysis and data mining to drive the company’s social network monetization efforts. This award-winning innovative analytics team is rapidly reinventing the way data analysis can be leveraged in our data-centric world. Join the Business Analytics team if you are up to the challenge of delivering highly relevant business insights from big data. This position will be focused on data mining and machine learning.
A successful candidate will be super creative and technical, with a collaborative and resourceful style that’s contagious. Our team is small, highly entrepreneurial, and business-focused.

Responsibilities:. 鍥磋鎴戜滑@1point 3 acres
• Analyze, integrate and mine “big data” to drive insights, including social network analysis and web/text analytics.
• Build data-driven predictive models for customer segmentation and campaign optimization.
• Build world class data mining framework to enable team to mine intensive social network data quickly and easily.. 1point3acres.com/bbs
• Develop and test analytical solutions to be leveraged by both internal and external clients.
• Overall, a highly driven, results-oriented, creative and nimble problem solver and a willingness to do “whatever it takes” to deliver business value quickly.
• 3+ years’ experience in data mining and machine learning with big data. Experience with social networking analytics, text mining, information retrieving, and web analytics experience preferred.
• Experience with large-scale data analysis frameworks: Pig, Hive, Map-Reduce (Hadoop ecosystem), Spark, NoSQL. 鐗涗汉浜戦泦,涓浜╀笁鍒嗗湴
• Excellent oral and written communication skills. Must be able to interact cross-functionally with both technical and non-technical people. 鏉ユ簮涓浜.涓夊垎鍦拌鍧.
• Passionate about LinkedIn and data mining and machine learning.
• MS/PhD in Computer Science, Engineering, Operational Research, Statistics, Marketing, Business, Economics, or another quantitative field of study..鏈枃鍘熷垱鑷1point3acres璁哄潧

Technical Requirements:
• 3+ years’ experience with Java/C++/ Python/SQL analyzing very large datasets.
• Familiarity with R, Weka, SAS and other statistical data mining package for statistical machine learning, clustering, classification, and text mining.
• Proficiency in a Unix/Linux environment for automating processes with shell scripting.
• Experience with Hadoop (Hive or Pig or MapReduce) preferred.
• Familiarity with web application development using HTML, PHP, JSP, and/or Ruby-on-Rails preferred.





 楼主| 小K 发表于 2016-4-2 14:20:14 | 显示全部楼层
This post is fairly old now. 1point 3acres 璁哄潧
you guys should probably re-do this exercise and update the jargons, trends etc.

不少公司对data science and data engineer的区别明确起来了
analytics vs data science,越来越多的公司倾向于名称上完全合并,但是实际招人标准非常不同

通才 vs 专才
多面手 vs. 高精尖

如果个人理论强,动手强,过去2-3年内也已经可以腾飞了。-google 1point3acres
再者是,如果去了一个成熟组,可能留给你做的内容特别窄,. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
and often, different companies still face quite diff challenges
亚麻的物流,优步的优化,有些地方的预测,有些地方的NLP,有些地方的network,有些地方的机器学习,有些地方的实验平台,marketplaces, 都是这种情况
typically need phd, often they are faculty members
exception would be: ms goes to a startup, as the startup grows rapidly, you become the expert in an area - you can imagine how often this happens
Even if you have 8 superb specialists, you only need 1 manager for all of them.

不然不容易make a big impact
If an org has 10 specialists in an area, you bet there will be 100 generalists elsewhere, this means at least 10 line managers, and at least 1 director, maybe even higher

这一句是个人意见:我觉得专家想做通才,如果有心,真的肯去转变,几个月时间就差不多了。毕竟软技能pickup比硬通货要容易。反之,如果一个通才想做专家,通常很难, if possible at all. 除非是之前说的fast growing startup场景。即便如此,也更可能是,公司长大后,请来adult help,之前的通才会变成manager (if he is able to manage). It is just very hard to pick up a phd level knowledge on the job, to match an existing specialist's level.

这一行反正肯定必须不停学习的。如果你发现自己6-12个月没有学到什么东西,那就是危险的征兆。After 2-3 yrs, you will find your skills quite out of date --- yes 理论上统计知识和经验,更新没那么频繁,但是实际上,用统计解决的business problem被科技推动的很快,你的理论需要translate into a real solution --  这部分涉及的技术变化也很快。See how fast R packages come out, and R changes? See how ipynb turned into jupyter, and now R and Py guys are working on a common data format that can be read into both R and Py seamlessly? See how your data pulls are rarely SQL any more -- it's Pig, Hive, Impala, and then Spark/Scala, data will be from Parquet, Kafka, etc. And where are data coming from? if you can't follow the data generation process, then your impact is also limited. It's not "what i can model from the rectangular data the data guys sent me", it's "how can i solve the problem at hand, if i have the data, great, if not, what other data can i get, and how would i use it to solve the problem?"

看看FG的最近5年是多少倍了?连微软都X2.5 - X3
Compare to target/nordstrom?
一个例外是disney(their stock is doing great) 不过不知道他们的数科能拿多少,知道内情的同学出来说说?. From 1point 3acres bbs

the past few years 数科飞速成长了,混乱当中机遇也就多。随着领域成熟,将来是否还会有fresh+2年变director的情况,就不好说了。

anyway, 好好follow兴趣 --- you wont' be able to keep up learning unless you really enjoy the process

DS is still a very hot and promising area
just like SDE, a strong, experienced manager/IC in DS will have no trouble at all landing the next gig

director/VP level我就不懂了,拭目以待吧。
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 楼主| 小K 发表于 2014-1-6 11:43:48 | 显示全部楼层

说的不怎么仔细而已。它家min requirement = MS,其他的还说BS就可以呢。。。其实怎么可能。。。。
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 楼主| 小K 发表于 2014-1-6 11:15:28 | 显示全部楼层

Director of Predictive Analytics
To some Big Data is just an aspiration; to us it is reality. As the central BI & Analytics for the Customer Support Services (CSS) organization within Microsoft, we are at the center of clickstream and operational data - the bridge between customer experience and Microsoft’s perception as a great customer service provider. This job has great potential to get out of a box and dive into an ocean of opportunity for the right individual.

We are looking for an extremely talented and highly motivated analytics professional to manage a team of data scientists building models to solve a wide variety of predictive analytics problems. The team consists of highly skilled individuals who are experts in statistical data mining, machine learning, driver analysis, big data technologies, etc. Analytics team manager should be familiar with data science topics, preferably have hands on experience in a few areas, and be able to guide the team through explorative thinking on problem topics. Additional areas of expertise that the candidate needs to possess simultaneously to be successful in this role are: excellent and proven people management skills, problem identification, structuring work streams, articulating progress and impact of deliverables, creating presentations that promote the work the team does, storytelling, stakeholder relationship building and management, escalation management, executive presence at a minimum.

In this role you will be part of a very visible, hard-working and fun team that is respected for what it brings to the table across CSS. You will closely partner with other parts of CSS, Engineering partners, Marketing teams to understand their requirements and goals.

Job Responsibilities:

You will manage the team that delivers predictive analytics solutions and data models and contribute to other efforts towards building a hub for forward thinking in the field of advanced data analysis. Your responsibilities will include but will not be limited to:
- Articulating the business problem to be solved by working with business decision makers, -google 1point3acres
- Guiding the team through selection of analysis methodologies for the problem at hand,
- Staffing projects appropriately and working closely with team members on the projects,
- Tracking progress, articulating the results in easy to communicate, visually articulate formats to a wide variety of audiences,
- Advertising the portfolio of work and impact created through walking decks, executive communications, etc,
- Adhering to a high standard of performance and people management excellence,


- Proven people management skills
- Proven project management skills in a fast paced environment. visit 1point3acres.com for more.
- Strong communication skills, both verbal and written
- Preferably hands on experience in data mining, statistics, machine learning, web analytics, descriptive analytics
- Strong grasp of hypothesis formation and testing
- Demonstrated ability to design and deliver systems on time with quality, and running reliable services with high automation
- Ability to deal with uncertainty, taking high level requirements and getting to required level of granularity independently
- Open to feedback and self-improvement
- Proactive and resourceful, willing to try new ideas & explore while ad
- Strong in follow-through

Bachelor degree in computer science or related areas is required. PhD or Master in these areas is a plus.
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 楼主| 小K 发表于 2014-1-6 11:18:00 | 显示全部楼层
Data Scientist-IEB-XBOX Live
We are looking for someone with a track record of energetic innovation and creative vision that connects with a deep passion to deliver great customer experiences. You are a seasoned, curious pro with great all around thinking capability to perform complex analysis and relate results back to business goals. You will be responsible for working across business, engineering, and customer service teams to find answers to important service, business, and planning questions using a wide range of data. It’s essential that you have the ability to unlock the value in data, helping the teams around you make better decisions that can be turned into action.. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴

Managing a portfolio of research projects that must return actionable results and value back to the business
Engaging actively with business partners to understand and to prioritize key business challenges in a rapidly changing environment
Designing analyses and experiments that have clear hypotheses, statistical rigor, take full advantage of available data resources, and soundly mitigate gaps in the data where and when they occur
Delivering key data driven insights and recommended actions in a persuasive manner to stakeholders with the goal of influencing decisions
Owning all data and analytics work end-to-end: project management, partner engagement, data extraction and validation, analysis and reporting, final presentation and broad communication of results

Required skills:. 1point 3acres 璁哄潧
- Passion and deep technical competency in mathematical modeling, statistics and business analytics.
- Ability to take complex and/or technical concepts and describe them in easy to understand business terminology.
- Proven problem-solving skills, excellent quantitative and data management skills
- Ability to work independently and in an ambiguous environment
- Demonstrated experience in exploratory data analysis and data mining process of large, complex data sets (i.e. “Big Data”)
- Proficient with mathematical and statistical methods and techniques including regression, AB testing, cluster analysis, monte carlo simulation, neural networks, decision tress, and principal component analysis, and predictive modeling
- Knowledge of major data mining platforms and applications and experience using major statistical analysis packages (i.e. SAS).. 1point3acres.com/bbs




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 楼主| 小K 发表于 2014-1-6 11:20:17 | 显示全部楼层
. from: 1point3acres.com/bbs

Apply advanced statistical methodsWork with large, complex data setsSolve difficult, non-routine problemsClearly communicate highly technical results and methodsInteract cross-functionally with a wide variety of people and teams. from: 1point3acres.com/bbs

Minimum Qualifications
. visit 1point3acres.com for more.
PhD in Statistics or Econometrics, or equivalent practical experience. 2 years of relevant work experience.Experience with R/SPlus; coursework in Bayesian methods, longitudinal analysis and experimental design.

Preferred Qualifications

3 years of relevant work experience.Experience with Python, Perl and SQL.
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 楼主| 小K 发表于 2014-1-6 11:27:20 | 显示全部楼层
Edmunds Data Scientist
鏉ユ簮涓浜.涓夊垎鍦拌鍧. Our ideal candidate will be able to approach problems from a strong theoretical perspective and craft practical solutions. You will have either built production products from the ground up or have had extensive research experience with substantial data sets. You have a passion for leveraging data to solve real problems and see yourself as a craftsman focused on delivering high quality scalable solutions.

What You'll Do:
  • Utilize our new Hadoop and Netezza powered data warehouse infrastructure to build a suite of products designed to empower the automotive consumer
  • Provide thought leadership in applying data to solve some of our thorniest problems
  • Design and implement solutions that our product teams can leverage to provide novel new features to our customers
. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
Working at Edmunds:

At Edmunds.com we’re driven to make car buying easier. As one of the most trusted review sites on the Internet, almost 18 million visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car. How do we do it, you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting edge technology.. 鐗涗汉浜戦泦,涓浜╀笁鍒嗗湴

A few of the perks:

  • ​Results Only Work Environment (ROWE) - work whenever you want from wherever you want, as long as the work gets done
  • Competitive pay + fantastic benefits including 14 paid company holidays (how many of your friends get to celebrate Earth Day as a paid day off?)
  • Flexible Time Away From Work - take what you need; as long as your work gets done, you can take any reasonable amount of time off - with pay, of course

Employees think it's a pretty great place to work and some pretty impressive publications think it is too: we've been recognized as one of the best places to work by the LA Business Journal (for the last 4 years!), Wall Street Journal, Business Week Magazine and Architectural Record. If you’re interested in learning more and joining our mission, we'd love to hear from you!

Desired Skills and ExperienceWhat You Need:
  • An extensive background in machine learning and data mining techniques
  • MS or PhD in Statistics, Applied Math, Computer Science, or Machine Learning related field, or a BS with experience
  • Expertise in R, SAS or other scientific computing languages
  • Proficiency in Python, Ruby, or other scripting languages
  • Proficiency in Java or other structured languages

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 楼主| 小K 发表于 2014-1-6 11:30:46 | 显示全部楼层
Research Scientist

. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
We are looking for passionate, hard-working, talented, and experienced Research Scientists who have outstanding research background in the computer vision and image processing areas, and have strong passion for building innovative applications that customers love. You will have an enormous opportunity to conduct applied research on futuristic technologies, whilst making direct impact to cutting edge products used every day, by people you know.-google 1point3acres
The Role:
  • Conduct applied research to investigate and nurture innovative and practical algorithms solving real-world problems
  • Develop and own strategic plans for next-gen technologies and products
  • Develop and optimize high-accuracy real-time computer vision solutions for digital and mobile platforms
  • Provide technical guidance and mentorship to team members
  • Create intellectual properties (patents) and publish technical papers
  • Interact with academic and industrial research communities for synchronizing with the trends and disseminating innovative ideas
  • Will work in an Agile/Scrum environment to deliver high quality software.
  • Technical evaluations of third party products

Desired Skills and Experience
Basic Qualifications
• An MS in CS Machine Learning, Operational Research, Statistics or in another highly quantitative field
• 2+ years of hands-on experience in predictive modeling and analysis 鏉ユ簮涓浜.涓夊垎鍦拌鍧.
• 1+ years of experience in using SAS or Matlab or any other statistical software
• Skills with Java or C++, Perl (or similar scripting language)

Preferred Qualifications • Strong communication and data presentation skills
• Strong Problem solving ability 鏉ユ簮涓浜.涓夊垎鍦拌鍧.
• Good skills with SQL and Perl or similar scripting language. From 1point 3acres bbs
Distributed programming experience is highly recommended
• A PhD in CS machine learning, Operational research, or Statistics
• 3+ years of industry experience in predictive modeling and analysis
• Experience with Oracle in a Linux or UNIX environment is a nice to have

. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
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n叶子 发表于 2014-1-6 11:32:46 | 显示全部楼层
看过一些学校招聘网上的类似的job description,感觉同学看到这种综合性的要求就都被吓跑了,我所知道的专业内同学的去向基本是Web Development、DB开发或者编程,少数口语好的做了Business Analyst,尽管大家都拿了Data Science的认证……当然,学校的课程和实际的需求对比起来实在鸡肋了
不知道上述那些方向日后转Data Scientist机会大不大?
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 楼主| 小K 发表于 2014-1-6 11:38:43 | 显示全部楼层
Statistician/Engineering Analyst
. more info on 1point3acres.com
Minimum Qualifications

BA/BS degree in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc or equivalent practical experience.  Experience with large data sets using statistical software (R, S-Plus, Matlab, or similar) and large databases (SQL).

Preferred Qualifications. 1point 3acres 璁哄潧

MS or PhD in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc.Broad work experience with large data sets. Strong experimental design and analysis skills.Considerable practical experience in quantitative analysis. Demonstrated leadership and self-direction.Specific positions can benefit from experience in one or more of: Operations Research, Online advertising, search, commerce, Machine Learning, Languages such as Python, JavaScript, Forecasting, Time-series modeling and Proficiency in foreign languages.Ability to draw conclusions from data and recommend actions.Willingness to learn new techniques.  Excellent written and verbal presentation skills.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to tackle some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

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nibuxing 发表于 2014-1-6 11:38:48 | 显示全部楼层
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 楼主| 小K 发表于 2014-1-6 11:41:30 | 显示全部楼层
n叶子 发表于 2014-1-5 22:32
看过一些学校招聘网上的类似的job description,感觉同学看到这种综合性的要求就都被吓跑了,我所知道的专业 ...
. Waral 鍗氬鏈夋洿澶氭枃绔,

i am a statistician by training所以我看的也尽量是这样的职位. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
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 楼主| 小K 发表于 2014-1-6 11:44:25 | 显示全部楼层
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ifso 发表于 2014-1-6 12:26:35 | 显示全部楼层
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dennis_szsy 发表于 2014-1-6 12:43:09 | 显示全部楼层
prefer phd 0.0 路漫漫
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lightiris 发表于 2014-1-6 13:03:55 | 显示全部楼层
prefer phd。。。
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粮果 发表于 2014-1-7 05:42:32 | 显示全部楼层
估计读完研究生能做的大概也就 土或者板凳....其他的都很难...
想我这种本科应数, 研究生想读统计的, 要在把统计学好, 然后再补cs的东西,,感觉太难....
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wesley 发表于 2014-1-7 05:50:34 | 显示全部楼层
第一个是给professor的吧 PHD毕业也不见得都能学会
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alonever 发表于 2014-1-8 06:28:47 | 显示全部楼层
F/T/L三家的DS更注重编程,因为他们吃的是技术饭,销售和经营模式都是小头。Microsoft则相反,只要能多卖掉一台XBOX360,多卖一个游戏,让有360的人去买ONE,工作就圆满了。Amazon的确要求不算高,面试的时候也问了更多的business question,但对stat方面会问得很深。G么,我就去洗洗睡了。。
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layyine 发表于 2014-1-18 15:19:49 | 显示全部楼层
n叶子 发表于 2014-1-5 22:32
看过一些学校招聘网上的类似的job description,感觉同学看到这种综合性的要求就都被吓跑了,我所知道的专业 ...

什么data science认证啊
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layyine 发表于 2014-1-18 15:23:31 | 显示全部楼层
小K 发表于 2014-1-5 22:44

问了一个那组里的师姐,她说they want CS guys know some statistics rather than STAT guys know some CS. Most people have CS background from Top tier universities. Even though you are not required to have a CS degree to be qualified, but it is kind like a culture.
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