Tuesday, 30 September 2014

Data Science & Big Data Analytics Recruitment

Whilst continuing my personal studies around the subject of Data Science & Big Data Analytics and more importantly, sponsoring and attending several conferences. It is clear that unlike many generic “IT” vacancies, consultants seeking work in this space are not only motivated by money and management potential. This was also compounded by an article I read which in short, flagged up the following:-

“Many people dream of working as a data scientist at a great company such as Google or Facebook, bringing home a good salary, and enjoying the perks of a thriving, employee-centric firm; however, there's more to life than a nice salary and an onsite barbershop. If you go into data science just for the perks, that's a huge mistake. To be a successful data scientist, you need to love data science.
Data scientists love to solve problems, write code, build charts and graphs, and work all night with others who love the same things. I'm not saying you should live to work, though work-life balance becomes a lot easier if you enjoy what you do. For good data scientists, it's not just a job, it's a state of mind -- they believe they were born to do their job, and they feel fortunate they can make a good living at it.

As a leader or a manager, it's important to hire the right people for the data scientist position. Some people may already have a sense they're not right for data science, and others may have a false sense of optimism. Either way, it's your responsibility to protect your organization and your interviewee from an improper fit.” 

I take pride in what I do and I am very passionate in this space. I have been working closely with Rackspace in the States and a number of other company’s where I was approached to facilitate several seminars on opportunities in the UK, EMEA & APAC for strong post-grads with aspirations to get into Data Science & Big Data Analytics. As a result, I feel well positioned to assist with any clients or candidates who are looking to get into the Data Science & Big Data Analytics space.

It’s not an easy task, but try me I do love a challenge.

Friday, 12 September 2014

Fancy a job in Australia #bigdataaustralia

I currently have a number of positions available to work in Australia. My clients are looking for Data Scientist’s / Analyst & Big Data experts with good skills in Hadoop & Analytics. If you fancy moving to a lovely hot area well working with the latest Big Data skills please contact me on bigdatasolutions@opusrs.com.

You will be work directly with prospective customers’ technical resources to devise and recommend solutions based on the understood requirements as well as analyse complex distributed production deployments, and make recommendations to optimize performance as well as master the Hadoop stack, the Hadoop Eco-System products and maintain proficiency and currency as the technology evolves and advances. You will need to achieve and maintain proficiency with Hadoop cluster and Hadoop Framework installation, debugging, and performance measurement/optimization

Skills needed are:

  • Familiarity with Hadoop and the Hadoop Eco-System framework

  • It is a  must that you are familiar with the  Java ecosystem and enterprise offerings

  • Solid background in Database administration or design. It would be good if you have experience using R and the algorithms provided by Mahout

  • The Big Data consultant must understand big data use-cases, and recommend standard design patterns commonly used in Hadoop-based deployments with knowledge of the data management eco-system including: Concepts of data warehousing, ETL, data integration, etc

The company’s goal is to make each individual feel valued for his or her contributions to the company’s mission. They are looking for smart people who want to do remarkable things.

This a highly innovative company with an amazing product who are building a world leading Cloud Big data technology stack so this is a superb opportunity to join a growing and dynamic organisation where you can take your career to the next level.

We are happy to help with visa applications and they offer amazing financial packages.

Wednesday, 10 September 2014

Data Science & Big Data Analytics

Do you fancy a job in Data Science & Big Data Analytics?

I currently have a number of positions available in UK, Amsterdam, Germany, Australia, Silicon Valley & South Africa

My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem solving abilities but also have what it takes to discern the hidden patterns and signals within different data sets.

Preferred Experience and Skills:

·        Advanced degree in applied mathematics, statistics, machine learning, engineering, economics, social sciences, or related fields (Master's degree required, PhD preferred).

·        Strong algorithmic and programming skills. Capable of designing and programming new data mining algorithms.

·        Solid grounding in applied mathematics and statistics including expertise in several of the following (or related) techniques: Bayesian modelling, multivariate regression, logistic regression, machine learning, cluster analysis, decision trees, time series analysis and forecasting, factor analysis, structural equation modelling, item response theory, Markov chains, and data visualization.

In addition you need to be familiar with disciplines such as:

·        Machine learning: using computers to improve as well as develop algorithms  

·        Natural Language Processing 

·        Conceptual Modeling: to be able to share and articulate modelling 

·        Statistical analysis: to understand and work around possible limitations in models 

·        Predictive Modeling: most of the big data problems are towards being able to predict future outcomes 

·        Hypothesis testing: being able to develop hypothesis and test them with careful experiments

You will need experience in “Big Data” as well as predictive modelling, optimization, machine learning, neural networks using a range of advanced technical tools (Python, SAS, Hadoop, R, Matlab, Machine learning, natural language processing, CPlex, C++, etc.)

A big data scientist understands how to integrate multiple systems and data sets. You need to be able to link and mash up distinctive data sets to discover new insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them.

 For more info contact me on: