Data Scientist Tshwane (Pretoria) - South Africa
Jordan Human Resource
Reference: JHB009218-CP-1 1595_ Data Engineer / Scientist (Advanced) Location: Gauteng Contract Term: 1 June 2024 - 31 December 2026 Application Submissions: ChantelleTjordanhr.co.za 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 · ADVANTAGEOUS SKILLS REQUIREMENTS: · Problem solving capabilities · Ability to work as part of a team · Ability to work interdependently as well as independently and submit deliverables on time and with excellent quality · Excellent interpersonal and organisational skills with ability to communicate effectively (both verbally and in writing) with both technical and non-technical colleagues / users · Strong ability to understand and interpret business needs and requirements with an aptitude to move concepts through to proposal and successful implementation · Strong presentation skills · Above-board work ethics · Flexibility to take up different tasks in the project · Ability and willingness to coach and give training to fellow colleagues and users when required · Willing and able to travel internationally WHICH QUALIFICATIONS/EXPERIENCE DO WE NEED FOR THE ROLE? · Strong background in mathematics and good analytical and problem-solving skills. · 3 – 5 years of experience in the field of Data Science WHAT WILL BE YOUR ROLE AND RESPONSIBILITIES? · 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
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