Data Scientist Midrand - Midrand
Sabenza IT Recruitment
Are you passionate about the automotive industry and the power of data-driven insights? Do you thrive on solving complex problems and driving innovation through analytics? If so, our client is looking for you to join their dynamic team as a Data Scientist Develop data science solutions and integrate and scale these solutions into MLOps pipelines Implements analytical algorithms for object detection, segmentation, classification, and recognition Provide support on Low code, no code solutions for business teams Evaluate LLM output and compare LLM configurations. Provides complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure Managing the expectations of business product owners, and ensuring that healthy synergy exists between the business and feature team. The planning of epics and sprints, and ensuring that business needs are accurately translated into technical tasks for a feature team to execute. Is responsible for discovering insights and identifying business opportunities using algorithmic, statistical, and mining techniques Interprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processes Analyses the data and build reports by using data visualisation tools such as Qlik and AWS Quicksight ESSENTIAL SKILLS REQUIREMENTS: Strong background in mathematics and good analytical and problem-solving skills. Any additional responsibilities assigned in the Agile Working Model (AWM) charter Languages: Python, Terraform Scripting Languages: SQL Machine Learning: Python, SKLearn, R, OpenAI Cloud: AWS, EC2, S3, EMR, Azure Operating System: Windows, Linux and Unix BI/DWH/ETL Tools: Qlik, AWS Quicksight DBMS / RDBMS: Postgres, AWS RDS IDEs: VSCode, Pycharm, Jupiter Notebooks, Microsoft Visual Studio Version Control: SVN, Git Tools: ATC Confluence, JIRA, Bitbucket, GitHub, GitHub CoPilot Qualifications/Experience Strong background in mathematics and good analytical and problem-solving skills. 3 – 5 years of experience in the field of Data Science
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