Senior Data Scientist, Advisory

This role would require the candidate to identify use cases to address big data challenges and value from it across relevant client company, encompassing consultancy from data strategy through to technology implementation.

The candidates we require for advisory should have the following characteristics: Extensive industry experience, handling clients at high level and having the experience of delivering end to end solutions/platforms. We are not looking for researchers or junior candidates.

Technical skills:
Data Engineers: Hadoop, SQL, RDBMS, Data Warehouse and Marts, Analytical

Databases, NoSQL Databases such as Neo4j, Spark, ETL, IoT platforms, modelling data for SQL and NoSQL databases, building/ configuring/ optimising databases, Cloud services such as AWS  and Azure, Cloudera ecosystem, Solr, Elastic search, processing (batch and real time) optimisation, Data Scientist: Hadoop, Spark, SQL, R, Python, Real time processing, Tableau, Graph/Network analysis, Machine Learning, Deep Learning, IoT, Optimisation
algorithms,

Data Scientist: Hadoop, Spark, SQL, R, Python, Real time processing, Tableau,
Graph/Network analysis, Machine Learning, Deep Learning, IoT, Optimisation
algorithms

More information can be found on the CADS homepage and the application can be submitted via hr@thecads.org

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