解析几个IT公司，统计背景的人可以做的job description

不小心翻到了，感叹一下，要求真高啊。。。
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

彩色highlight了一下不同的关键字，有抓狂感

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:
• 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.
• Develop and test analytical solutions to be leveraged by both internal and external clients.
Requirements:
• 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
• Excellent oral and written communication skills. Must be able to interact cross-functionally with both technical and non-technical people.
• 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.

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.

This post is fairly old now
you guys should probably re-do this exercise and update the jargons, trends etc.

个人感觉是：
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
投的时候，如果有内推打听的，尽量打听清楚不要浪费机会（毕竟你面挂了被允许再去面其他组，这概率不高），亲眼看见因为选组不合适而挂的人，不要太多


以下两种想清楚自己更在意什么：
通才 vs 专才
多面手 vs. 高精尖

走specialist路线的好处是可以走技术路线，

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Curated Interview Questions from Top Companies

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。

commanders2005 发表于 2015-5-24 06:51
用不着。。professor， 如果professor会这些乱七八糟的， 那才是浪费呢。 感觉像工作过人的要求， 一两年 ...

My colleague fits all of these ....he's fairly young, phd + 2.5

小K 发表于 2014-1-5 22:44
第一个posting太那啥了，焦虑死。。。简直无所不包啊。。。。

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.

这个偏重管人，交流，modeling


Microsoft
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,
- 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,

Qualifications:

- Proven people management skills
- Proven project management skills in a fast paced environment
- 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

Education:
Bachelor degree in computer science or related areas is required. PhD or Master in these areas is a plus.

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.

Responsibilities:
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:
- 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).

著名的G家QA


Responsibilities
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


. 1point 3 acresMinimum Qualifications

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.

Edmunds Data Scientist
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
  

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.
. Χ
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
  

amazon
Research Scientist

. 1point 3 acres

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.

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
• 1+ years of experience in using SAS or Matlab or any other statistical software
• Skills with Java or C++, Perl (or similar scripting language)

. 1point 3 acresPreferred Qualifications • Strong communication and data presentation skills
• Strong Problem solving ability
• Good skills with SQL and Perl or similar scripting language
• 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

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？

G家另外一个职位
Statistician/Engineering Analyst

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

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.

Area

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.

Amazon的要求稍微低一些，别的感觉都是给PHD和有工作经验的人的

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 ...

背景不同吧

i am a statistician by training所以我看的也尽量是这样的职位
跟你方向不太一样，无法评论