RSS Featured Blog Posts
  • Poker, Probability, Monte Carlo, and R
    My daughter just started a business analytics Master's program. For the probability sequence of the core statistics course, one of her assignments is to calculate the probability of single …
    steve miller
  • What a CEO needs to know about Machine Learning algorithms
    During my first project in McKinsey in 2011, I served the CEO of a bank regarding his small business strategy. I wanted to run a linear regression on the bank's data but my boss told me: "Don't do it. They don't understand statistics". (We did not use Machine…
    Pedro URIA RECIO
  • Are You Ready To Become A Chief Data Scientist?
    You know who you are. A high-calibre machine learning magician, a well-versed wrangler of data... but you want a bit more from your role. That may be progression, more money or the chance to work on new, more exciting projects, but where do you go from here?   Many companies are looking to increase investment […]
    Matt Reaney
  • Artificial Intelligence (AI) in Retail Market to hit $8bn by 2024
    Artificial Intelligence (AI) in Retail Market size is set to exceed USD 8 billion by 2024; according to a new research report by Global Market Insights, Inc.  The AI in retail market is driven by the increasing investments in it across the globe. The growing investment in the technology is attributed to the wide applications […]
    Sagar
  • Summarize and explore the data using SmartEDA
    Created an R package for exploratory data analysis. Package name is SmartEDA now available on CRAN. This package includes multiple custom functions to perform initial exploratory analysis on any input data describing the structure and the relationships present in the data. The generated output can be obtained in both summary and graphical form. The graphical form […]
    Dayanand

We noticed your search to hire data scientists, and no doubt you realize there is more demand for this expertise than the available pool of talent. In addition, while the practice of data science is not new, the professionals calling themselves data scientists come from diverse backgrounds, differing levels of education and experience. Some will argue that econometrics is the best background for a data scientist, while others view statistics with computer science skills, or teach yourself programming it’s the creative mindset applied to business and knowledge of mathematical applications that are the most brilliant. Suffice it to say, data science has multiple approaches to solve a problem, and combined training in the discipline of econometrics, mathematics and statistics with computer science chops and field experience is going to provide a candidate with the best approach to solving your business problems over and over again. So, let’s agree it’s a strategic hire for your organization.

The Data Science Beagle has teamed up with our friends at Divergence Academy, and offers several programs available to assist you in your search, either fee based, contingent or sponsorship.

 

 

 

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