Candidate

Roll International, where people make a world of difference.

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Data Scientist

While some are still grappling with how to define data scientists, we are at the forefront. We offer Career Agent services to prominent performing data scientists worldwide. Only 1% of the data in the world is being analyzed today. Data Scientist are presumed to have the “magic touch” to ask the right questions and get actionable answers. For some time to come, there aren’t enough people with algorithmic skills and domain knowledge to fill the demand. McKinsey and ABI Research predicts there will be a shortage of up to 190,000 data scientists within a few years; a 60% shortfall. The United States, United Kingdom, and Japan are expected to have the greatest demand, while India, China, and Brazil will have a great portion of the supply. Primary data scientist categories include statistics, mathematics, data engineering, machine learning, business/ROI, software engineering, visualization, and spatial data/GIS.

Talent hits a target no one else can hit; genius hits a target no one else can see. – Arthur Schopenhauer

If you have the qualities of a “data genius,” we want to connect with you. A genius is not just a person who is really smart or really talented. A true genius isn’t just better at thinking than the rest of us. They cognate differently and imagine “googleations” we never could imagine.

 

Do you have an innovative enterprise-level big data solution you want to bring to the world marketplace? We have the entrepreneurial resources you need to bring it to full economic fruition.

What kind of data scientist are you?

Michael Hochster elegantly summarized the two fundamental types of data scientists:
Type A Data Scientist: The A is for Analysis. This type is primarily concerned with making sense of data or working with it in a fairly static way. The Type A Data Scientist is very similar to a statistician (and maybe one) but knows all the practical details of working with data that aren’t taught in the statistics curriculum: data cleaning, methods for dealing with very large datasets, visualization, deep knowledge of a particular domain, writing well about data, and so on.
Type B Data Scientist: The B is for Building. Type B Data Scientists share some statistical background with Type A, but they are also very strong coders and may be trained software engineers. The Type B Data Scientist is mainly interested in using data ‘in production.’ They build models which interact with users, often serving recommendations (products, people you may know, ads, movies, search results).”

Manu Jeevan defines a data scientist as “someone who performs statistical analysis, data mining and retrieval processes on a large amount of data to identify trends, figures, and other relevant information and help a business gain a competitive edge.” Not all data scientists are the same. In the book “Analyzing the Analyzers,” four (5) major categories of data scientists are identified:
1. Data Business people are the product and profit-focused data scientists. They’re leaders, managers, and entrepreneurs, but with a technical bent. A common educational path is an engineering degree paired with an MBA.
2. Data Creatives are eclectic jacks-of-all-trades, able to work with a broad range of data and tools. They may think of themselves as artists or hackers and excel at visualization and open source technologies.
3. Data Developers are focused on writing software to do analytic, statistical, and machine learning tasks, often in production environments. They often have computer science degrees, and often work with so-called “big data.”
4. Data Researchers apply their scientific training, and the tools and techniques they learned in academia, to organizational data. They may have PhDs, and their creative applications of mathematical tools yield valuable insights and products.
5. Data scientists Generic are similar to data business people but without the immense experience or the intense business focus. They are more balanced than the other four types of data scientists. They are flexible like data science creative, but with a better understanding of the business world. Generic data scientists are passionate about the field and have a T-shaped skill set.


 

Big Data/Predictive Analytics/Business Intelligence Professionals

Big Data and Big Data Analytics, the process of gathering, analyzing and visualizing internal and external data, can be a complicated journey. Pros can easily separate the big data hype from what is practical scaleable technology. If you know your stuff and are a true evangelizer and visionary, we need to talk. We at Roll International understand and appreciate your passion for bringing data to the layman’s desktop one petabyte at a time.

Torture the data, and it will confess to anything. – Ronald Coase


 

Conference Speakers – Keynotes

Are you an expert in your technical field and skilled in public speaking? We are always looking for professional speakers and keynotes for big data and data science conferences.

One of the ironies of a conference dedicated to all things digital and virtual is that the best ways to connect with people are surprisingly old-school. Social media tools can improve the odds of a serendipitous encounter…, but old-fashioned hustle, palm-pressing and – above all – creativity go a long way. – Ryan Holmes


 

Board of Director

The Board of Directors are an intricate group of high-powered advisors. Whether you call it Board of Directors, Board of Governors, Board of Managers, Board of Regents, Board of Trustees, or just “The Board,” they are mainly responsible for advising/consulting, oversight, auditing, financials, budgets, and legal. With the onslaught of big data, there is a new trend to appoint more high tech-savvy board members. We have the professional relationships with this type of executive titan. Roll International also handles two-tier system assignments where some European and Asian countries have two separate boards; for day-to-day business and for supervisory.

In today’s economy, and with our reliance on IT for competitive advantage, we simply cannot afford to apply to our IT anything less than the level of commitment we apply to overall governance. – Etienne Aigner

 

Inquire about “The Perfect Promise” we make with you.