Tag Archives: data science

Kaggle Makes Data Science Fun

The tag line for Kaggle is “We’re making data science a sport.”  They have successfully created a way to turn data science into a competition.  It is both fun, and it yields excellent results.  There is also a portion of the site dedicated for classroom use.  It is called Kaggle in Class.

Here is how it works.  A company that needs some data analyzed can contact Kaggle and host a competition.  Then data scientists all over the world can compete to find the best solution. The company benefits from having many algorithms and techniques applied to the same data set.  Many more algorithms are applied than what the company could run without Kaggle.  The contestants benefit from networking, pre-cleaned data, and learning from others.  It is a win/win situation. Plus, the winner gets prize money.

Currently, the large featured competition is the Heritage Health Prize. It is a $3,000,000 competition to identify individuals that will be admitted to the hospital in the next year.  The contest lasts until April 2013.

This is definitely a site I want to be involved with in the future.  I just wish they could make it a spectator sport as well.

16 Companies Hiring Data Scientists Right Now

Data Scientist is the hot new job for 2012.  Does this job really exist?  Who hires these people? Are companies currently hiring? The answers are: yes, lots of companies, and yes. I decided to spend last night looking for companies that are currently hiring data scientists.  It did not take long to compile a pretty good list.

Data Scientist Job Openings

Company Location Link
Microsoft Redmond, WA Microsoft Sr. Data Scientist
Netflix Los Gatos, CA NetFlix Senior Data Scientist
Kaggle San Francisco, CA Kaggle Data Scientist
Greenplum San Mateo, CA Greenplum Data Scientist
Last.fm London Last.fm Data Scientist
Rackspace San Antonio, TX Rackspace Data Scientist
Amazon Seattle, WA Amazon Data Scientist/System Architect
Facebook Menlo Park, CA Facebook Data Scientist
Twitter San Francisco, CA Twitter Data Scientist
LinkedIn Mountain View, CA LinkedIn Data Scientist
Cobalt/ADP Cambridge, MA Cobalt Data Scientist
Ebay/Paypal San Jose, CA Paypal Data Scientist
Bunchball San Jose, CA Bunchball Data Scientist
A9 Palo Alto, CA Principal Engineer/Data Scientist
Acxiom Little Rock, AR Acxiom Data Scientist
Trulia San Francisco, CA Trulia Data Scientist – Data Science Lab

Do you know of any other companies hiring Data Scientists right now?

Learning Statistics for Data Science

Statistics – This is a topic that could use some more attention from the online community.
I would love to see Stanford (or Coursera) offer a free statistics course online much like the other free courses online.

I did find a series of Youtube videos by Daniel Judge, a Professor in the East Los Angeles College Mathematics Department. The videos start at the very beginning of statistics. I have watched a couple of the videos, and they seem quite good. Daniel does a nice job of explaining the information. Here is the first video in the series.

Stay tuned to the blog in case other stats options appear online. Also, please leave a comment if you know of some good online statistics resources.

What Makes a Good Data Scientist?

Jeremy Howard is the Chief Scientist at Kaggle. At the end of this interview, from the Strata Conference 2012, he identified 4 simple traits that a data scientist needs.

  1. Creativity
  2. Open-mindedness
  3. Tenacity
  4. A Good Skillset

Jeremy Howard of Kaggle at Strata 2012

In this brief interview he covers a range of other data science topics:

  • Big Data is an engineering problem
  • Analytics generate value/insight from data
  • Predictive Modeling is about answering a question – build a model to do that
  • Is Data Science about tools or people? – watch the video for Jeremy’s answer
  • And others…

See this previous post for more videos from Strata 2012.

Heroku Thinks Sharing Data is Important

Last week,  Heroku announced a new feature to its PostgreSQL database service.  The new feature is called Data Clip, and it allows users to share results of an SQL query.  It has options to store the exact data from when the query was originally run or the query can be refreshed to return the current data.  I can definitely see this being useful for debugging of code and troubleshooting, which may have been Heroku’s original intent.

I can also see the Data Clip being very useful for data science and quick sharing of relevant data. I doubt the Data clip can handle huge result sets, but huge data is not always necessary. Sometimes, being able to quickly share data results is just as important. Plus the Data Clip allows the results to be downloaded into Excel, csv, json, or yaml formats. Therefore the data can be easily manipulated from there.

See an example in action.