1595_Data Scientist (Advanced)

at  JorDan Human Resources

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

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
  For more information please contact:
  Chantelle Tree