1595 Data Scientist (Advanced)

Imizizi; Pretoria; On-site; ZAR 400,000 - 500,000; Full time

Job summary

Une entreprise dynamique en Afrique du Sud recherche un Data Engineer / Scientist pour développer des solutions de data science innovantes. Ce poste nécessite des compétences en Python et AWS, ainsi qu'une expérience dans l'intégration de solutions dans des pipelines MLOps. Le candidat participera à des projets d'envergure, en collaborant étroitement avec les équipes commerciales pour identifier des opportunités d'affaires et produire des analyses exploitées.

Qualifications

• 3 – 5 ans d'expérience en data science.
• Compétences en Python et AWS impératives.
• Connaissances en algorithmes analytiques et visualisation de données requises.

Responsibilities

• Développer des solutions de data science et intégrer dans des pipelines MLOps.
• Implémenter des algorithmes analytiques pour la détection et la classification d'objets.
• Analyser des données et construire des rapports en utilisant des outils de visualisation.

Skills

Python

SQL

Terraform

AWS

Data Visualization

Object Detection

Classification

Tools

Qlik

AWS Quicksight

Postgres

AWS RDS

VSCode

Jupyter Notebooks

GitHub

Job description

Reference : JHB-NT-1Looking for a Data Engineer / Scientist that is ready for a new challenge.Experience : 3 – 5 years of experience in the field of Data Science.Position : contract until December .Duties & ResponsibilitiesWhat will be your role and responsibilities?Develop data science solutions and integrate and scale these solutions into MLOps pipelines.Implement 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.Provide complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure.Manage the expectations of business product owners, ensuring that healthy synergy exists between the business and feature team.Plan epics and sprints, ensuring that business needs are accurately translated into technical tasks for a feature team to execute.Discover insights and identify business opportunities using algorithmic, statistical, and mining techniques.Interpret the results of statistical and predictive experiments and regression analysis, integrating this into complex business processes.Analyze data and build reports using data visualization tools such as Qlik and AWS Quicksight.Essential skills required : Python, Terraform, SQL.Python, SKLearn, R, OpenAI.AWS, EC2, S3, EMR, Azure.Windows, Linux, and Unix.Qlik, AWS Quicksight.Postgres, AWS RDS.VSCode, Pycharm, Jupyter Notebooks, Microsoft Visual Studio.SVN, Git.ATC Confluence, JIRA, Bitbucket, GitHub, GitHub CoPilot.If you are a motivated individual with the necessary qualifications and experience, we invite you to submit your CV.

Please note that if you do not receive a response from us within 2 weeks, your application was not successful.