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You will be updated with latest job alerts via email5years
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1 Vacancy
Are you ready to shift gears and accelerate your career in one of the world s most dynamic industries Our esteemed client a global leader in the automotive industry is looking for a Data Scientist to fuel their data-driven journey as they shape the future of smart mobility and intelligent vehicle solutions. This is a hybrid model position in Gauteng.
Responsibilities:
Implements analytical algorithms for mixed integer linear programming problems.
Responsible for large scale calculations of core datasets used in a production environment.
Deep understanding of mathematical models and statistical frameworks for machine learning optimization
Comfortable in large scale parallel computing environments
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
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
Essential Skills experience and Qualifications required:
Strong background in mathematics and good analytical and problem-solving skills.
Data Science and Mathematical competency.
General AWS experience in the DataScience / big data context.
Ability to code in Python and R
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
Master s degree (related to data engineering statistics mathematical modelling)
Preferable PhD Degree (related to data engineering statistics mathematical modelling)
Education
Master s degree (related to data engineering, statistics, mathematical modelling) Preferable PhD Degree (related to data engineering, statistics, mathematical modelling)
Full Time