The Life of a Technical Data Science & Big Data Analytics Recruitment Consultant in the Heart of the City - Data Science, Cloud, Big Data Analytics and Development Technologies in London, EMEA,APAC and Americas
Wednesday, 1 October 2014
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.
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.
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.
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:
Email me on adamr@opusrs.com / bigdatasolutions@opusrs.com
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