7-10 years extensive experience within the data science industry in a fast-paced and complex business setting and with leading teams
Experience in deep learning algorithms, large datasets, and unstructured data
Experience in Machine Learning solving business problems
B. Degree Computer Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate preferable)
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
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