Your SlideShare is downloading. ×
Data Science, Cloud & Big Data Analytics Capability Statement
Data Science, Cloud & Big Data Analytics Capability Statement
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Data Science, Cloud & Big Data Analytics Capability Statement

381

Published on

Senior Technical EMEA & APAC Data Science, Cloud & Big Data Analytics IT Recruitment Consultant delivering across the full IT lifecycle and have a keen interest and passion for bleeding edge …

Senior Technical EMEA & APAC Data Science, Cloud & Big Data Analytics IT Recruitment Consultant delivering across the full IT lifecycle and have a keen interest and passion for bleeding edge technologies in Data Science, Big Data Analytics, Cloud, Microsoft Azure, Programming, Business Intelligence, ETL & DWHI in UK, EMEA & APAC.

This is my Data Science, Cloud & Big Data Analytics Capability Statement.

I have experience recruiting the best candidate’s that use the latest tools, techniques and methods used by all Global Analytics teams

If you are struggling to fill a position within your team or would simply like to reinforce your team I would be more than happy to show you my unique level of service that is unrivalled by other agencies and provide some references of some of my top clients to back this up.

I believe Opus can add value to your recruitment in this bleeding edge technology area. Please consider Opus for any future requirements and feel free to contact me if you have any further questions about what we can do.

Skills Specialities:

Big Data: Hadoop / HBase / Hive | Mahout | Cassandra | NoSQL | Pig | MongoDB | Spark
Analytics & Programming: Python | R Programming | MATLAB | Stata | SQL (MySQL / Postgre / NoSQL) | SAS (SAS Base/Macro, DI Studio) | SPSS | Palantir | Teradata | Fortran | LaTeX | Excel / VBA

Data Science: Machine Learning | Algorithm Development | Data Mining | Statistical Modelling | Predictive Modelling | Statistics | Deep Learning | Signal Processing | Probability Models | Computer Programming | Data Engineering | Pattern Recognition | Visualization | Predictive Analytics | Uncertainty Modeling | Data Warehousing | High Performance Computing

Role Specialities: Data Scientist | Hadoop Developer | Big Data Engineer | Statistician | Junior Data Scientist | Decision Scientist | Big Data Architect | Data Manager | Data Strategy Manager | Data Consultant | Data Analyst / Data Modeller | Analytics Manager | Data Science Specialist | Head of Data Science | Chief Data Scientist | PhD Graduate

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
381
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Data Science & Big Data Analytics Division UK, EMEA, Asia Pacific & Americas Opus was established in 2008, supplying niche skills to the IT market in the Data Science, Cloud & Big Data Analytics Practice in EMEA & APAC. Our Data Science, Cloud & Big Data Analytics team has established strong relationships with some of the largest names in the market including Rackspace, Google, Cloudera, Hortonworks, Mapr Technologies, HSBC, Barclays Bank, Omnicom Media Group, Basho, Neo Technology, Macmillan, Vibrant Media, Blismedia, VisualDNA, CGI, Capita, Puppet Labs, Wunderman (WPP) and Justgiving to name a few. The team have been proactively hosting and attending a number of related events and meet ups in order to develop relationships with the best clients and candidates within the industry. Within this space we are currently engaged with a number of innovators in this market space and have very strong relationships with the community. Data Science & Big Data Analytics technologies: Data Science, Cloud, Big Data Analytics, Natural language processing (NLP), Machine learning, SPSS, Matlab, Deep learning, Hadoop, Splunk, AWS, Python, Google, Microsoft Azure, MongoDB, Neo4j, R, Riak, High Performance Computing (HPC), NoSQL, SQL Server, Scala, Cassandra, Statistics, HBase, Pig, Hive, MySQL, Linux, Java, D3, Agile, mathematics, Puppet, SAS, Chef, Palantir, Teradata, Tableau, Qlikview, Pentaho, Spark, Alteryx, Data modelling, Optimisation, Big Data Technologies, Data Architect, Data visualization & Analytics The above is not an exclusive list and we work on a diverse range of roles and technologies. Data Science & Big Data Analytics:  Data Scientists, Statistician, Insight Analyst, Chief Data Scientists  Data Architects, Data Engineers, Data Analysts & Statistics Consultants  Pre-Sales / Post Sales engineers & Sales Engineers  Software Engineers & Systems Engineers  DevOps Engineers / Technical Evangelist  Architects (Cloud, Solutions & Enterprise)
  • 2. Wehaveateamofpermanentand contractrecruitersspecialisingin Data Science, Cloud,BigdataAnalytics& development spacecoveringtheabove skillsand jobs in London, UK, EMEA, Asia Pacific & Americas Twitter handels: @adam_rab @BigdataITJobs @azure_ninjas LinkedIn Groups: ● Cloud & Bigdata ● Windows Azure ● DataScientist&AnalyticsUK ● HadoopExpertsUK&EMEA ● ASP.Net MVCDevelopers HERE’S WHAT OTHERS HAVE TO SAY “Adam has an extraordinary knowledge in Big Data solutions, technology and use cases. His proactiveness in this area is fantastic leading to complex discussions on how big data can be applied. As a recruiter, having this kind of knowledge for helping clients find the right people to support and fill positions in Big Data, regardless of the specific product is invaluable. I've never worked with a recruiter better than Adam” Lisa - EMEA Consulting Director for Big Data at Oracle “During the early days of cloud and big data - before it was "the" thing - Adam took it seriously, and chose to specialise in that area. His support of community, and his sheer enthusiasm, helped it grow. (Which I am sure, in turn, helped his business.) It was great to work with someone with that foresight.” Michael - Enterprise Cloud Platform Lead at Microsoft Central & Eastern Europe “Adam is an exceptional recruiter who really understands the technology space. For us it was difficult before finding Adam to find the big data talent we needed, but he has an uncanny knack for finding candidates of exceptional quality in short timeframes. Would highly recommend him to any technology company seeking to hire new talent.” Rob - VP Worldwide Systems Engineering at MapR Technologies “I know Adam as a very reliable and effective technical recruiter who managed to get a number of stellar Data Science & Big Data Analytics people for MapR in the past years. Certainly a go-to person!” Michael - Chief Data Engineer at MapR Technologies contact oneofourconsultantstoday. UK:+44(0)2 074481414 Sydney: +61 (0)2 9238 4283 Amsterdam: +31 (0)2 0521 9432

×