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Data Scientist (G1928)
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General Details
Description
The Role:
We are looking for an experienced Data Scientist for a Fixed Term Contract for Pretoria.
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Roles and Responsibilities:
Strong working knowledge with software development tools, techniques and approaches used to build application solutions
Implements analytical algorithms for object detection, segmentation, classification, and recognition
Is responsible for discovering insights and identifying business opportunities using algorithmic, statistical, and mining techniques
Plays a strategic role in creative ideas for leveraging the businessâ?? vast collection of data into new ground-breaking IT solutions
Establishes accurate and scalable analytics systems
Interprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processes
Conducts customer specification studies, gathers requirements, conducts system architectural design and turns the requirements into a final product
Provides complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure
Collaborates with various team members and facilitates the development, automation, and seamless delivery of analytics solutions into Big Data clusters
Is responsible for Data Warehousing and ETL using Informatica Power Center
Analyses the data and build reports by using data visualisation tools such as Tableau, Cognos, MicroStrategy
Imports and exports data using Sqoop from HDFS to Relational Database Systems and vice-versa
Codes and tests the Standardisation, Normalisation, Load, Extract and AVRO models to filter / massage the data and its validation
Installs, configures, and uses ecosystem components like Hadoop Map Reduce, Spark, Hive, Sqoop, Pig, HDFS, HBase, Cassandra, ZooKeeper, Oozie, Hue, Impala and Flume
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Minimum Years of Experience:
10+ years extensive experience within the data science industry in a fast-paced and complex business setting and with leading teams
Extensive experience in Machine Learning solving business problems
Agile working experience advantageous
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Minimum Qualification Required:
Relevant IT / Business Degree or similar
Â
Skills and Experience:
Specific Technical/ Functional Skills:
Languages: Python, Scala, SQL, Java, PL/SQL
Web Technologies: Web Services, SOASP, Rest Web Services, JSP
Big Data Eco System: Spark, HDFS, Yarn, Map Reduce, Hive, Pig, Sqoop, ZooKeeper, Kafka, Oozie, Hue, Impala, Flume
Scripting Languages: HTML, JavaScript, CSS, XML Ajax
Machine Learning: R, SAS, SKLearn, MATLAB, Octave, Spark ML
No SQL Databases: Cassandra, HBase, MongoDB, Vertica
Cloud: AWS, Azure Cloud
Operating System: Windows, Linux Unix
BI/DWH/ETL Tools: Informatica 9.5/9 1/8.6, Tableau, Cognos
DBMS/RDBMS: Oracle 12c/ 11g, SQL Server 2014, DB2, Teradata 14/12, AWS Redshift
IDEs: Eclipse, Jupiter Noteboo
We are looking for an experienced Data Scientist for a Fixed Term Contract for Pretoria.
Â
Roles and Responsibilities:
Strong working knowledge with software development tools, techniques and approaches used to build application solutions
Implements analytical algorithms for object detection, segmentation, classification, and recognition
Is responsible for discovering insights and identifying business opportunities using algorithmic, statistical, and mining techniques
Plays a strategic role in creative ideas for leveraging the businessâ?? vast collection of data into new ground-breaking IT solutions
Establishes accurate and scalable analytics systems
Interprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processes
Conducts customer specification studies, gathers requirements, conducts system architectural design and turns the requirements into a final product
Provides complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure
Collaborates with various team members and facilitates the development, automation, and seamless delivery of analytics solutions into Big Data clusters
Is responsible for Data Warehousing and ETL using Informatica Power Center
Analyses the data and build reports by using data visualisation tools such as Tableau, Cognos, MicroStrategy
Imports and exports data using Sqoop from HDFS to Relational Database Systems and vice-versa
Codes and tests the Standardisation, Normalisation, Load, Extract and AVRO models to filter / massage the data and its validation
Installs, configures, and uses ecosystem components like Hadoop Map Reduce, Spark, Hive, Sqoop, Pig, HDFS, HBase, Cassandra, ZooKeeper, Oozie, Hue, Impala and Flume
Â
Minimum Years of Experience:
10+ years extensive experience within the data science industry in a fast-paced and complex business setting and with leading teams
Extensive experience in Machine Learning solving business problems
Agile working experience advantageous
Â
Minimum Qualification Required:
Relevant IT / Business Degree or similar
Â
Skills and Experience:
Specific Technical/ Functional Skills:
Languages: Python, Scala, SQL, Java, PL/SQL
Web Technologies: Web Services, SOASP, Rest Web Services, JSP
Big Data Eco System: Spark, HDFS, Yarn, Map Reduce, Hive, Pig, Sqoop, ZooKeeper, Kafka, Oozie, Hue, Impala, Flume
Scripting Languages: HTML, JavaScript, CSS, XML Ajax
Machine Learning: R, SAS, SKLearn, MATLAB, Octave, Spark ML
No SQL Databases: Cassandra, HBase, MongoDB, Vertica
Cloud: AWS, Azure Cloud
Operating System: Windows, Linux Unix
BI/DWH/ETL Tools: Informatica 9.5/9 1/8.6, Tableau, Cognos
DBMS/RDBMS: Oracle 12c/ 11g, SQL Server 2014, DB2, Teradata 14/12, AWS Redshift
IDEs: Eclipse, Jupiter Noteboo
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