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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