SUMMARY:
Data Scientist with AWS - 3 year contract - SA citizens only - Gauteng based
POSITION INFO:
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
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 business’ 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 FlumeWe are looking for a senior Data Scientist with AWS services experience for our new Mobile Analytics team.
Data Scientist with expertise in AWS services:
- Expert knowledge machine learning and data science research
- Expertise in developing solutions to anomaly detection problems
- Extensive experience building predictive and optimization models
- Ability to do statistical modelling.
- Ability to distil problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives
- Experience designing and supporting large-scale distributed systems in a production environment
Languages
Python, Scala, SQL, Java, PL/SQL
Web Technologies
Web Service, SOAP, Rest web services, JSP
Big Data Eco System
HDFS, Spark, Yarn, Map Reduce, Hive, Pig, Sqoop, ZooKeeper, Kafka, Oozie, Hue, Impala, Flume.
Scripting Languages
HTML, JavaScript, CSS, XML and Ajax
Machine Learning
R, SAS, Python, SKLearn, MATLAB, Octave, Spark ML
No SQL Databases
Cassandra, HBase, MongoDB, Vertica
Cloud
AWS, EC2, S3, EMR, Azure
Operating System
Windows, Linux and 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
