RSS Featured Blog Posts
  • An overview of feature selection strategies
    Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true even today despite the success of deep learning, which comes with automatic feature engineering. Parsimonious and interpretable models provide simple insights into business problems and therefore they are deemed very valuable. Furthermore, in many occasions […]
    Burak Himmetoglu
  • Helping Non-Profit Organizations as a Data Scientist
    Data Scientists are considered to be highly technical professionals and are typically seen exercising their talent in conventional business industries. However, Data Science is a problem-solving field. Therefore, it can be applied in any field that uses set of data and determines patterns to make decisions. For this reason, Data Scientists have the ability to […]
    VAMSI NELLUTLA
  • Free Book: Introduction to Statistics
    Online Statistics Education: A Multimedia Course of Study.  Project Leader: David M. Lane, Rice University. Content: Introduction Graphing Distributions Summarizing Distributions Describing Bivariate Data Probability Research Design Normal Distributions Advanced Graphs Sampling…
    Capri Granville
  • Introduction to Deep Learning
    Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistical methods (Generalized Linear Models, Mixed Effects Models, Ridge, Lasso, etc.) and modern machine learning techniques (XGBoost, Random Forests, Kernel Methods, neural networks, etc.).…
    Vincent Granville
  • The Fourth Way to Practice Data Science – Purpose Built Analytic Modules
    Summary:  Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new model for the good use of Citizen Data Scientists, and a new market for AI-first companies.   It appears that data science has…
    William Vorhies

Ideas for your Data Science Career Search

2016 is fast approaching. If you’ll be looking at IT job prospects in the year to come, these 10 predictions could optimize your search.  10 predictions for the IT job market in 2016

RJ Metrics, a Philly based startup, has provided an interesting analysis on the state of data science.

Data Science Careers                                        Data Jobs

Kaggle Data Science Jobs Forum

Rareified Talent in Big Data and Analytics

GlassDoor for Data Analyst and Data Science

Big Data Consulting

Data Science Jobs posted on LinkedIN

Startup Jobs

AngelList

Consulting Companies

Daugherty Business Solutions

Perficient

Fortune 500

Data Science at HP

Data Science at AT&T

@WalmartLabs

There are many ways to search for a new role, however the best is always your network. Read my post on LinkedIN.

 

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