Data Scientist

Deloitte Africa; Midrand; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading consulting firm is seeking a qualified individual to oversee and manage multiple projects within the Data Science and Data Engineering space. The candidate will lead teams of Data Engineers and Data Scientists, ensuring the successful delivery of projects. This position requires a Bachelor’s degree and significant experience in data project management, strategic insight development, and client engagement.

Qualifications

• Bachelor’s degree in a relevant field.
• Proven experience in leading data projects.
• Strong understanding of data engineering and data science principles.

Responsibilities

• Lead and manage the execution of Data Engineering and Data Science projects.
• Develop Business Intelligence roadmap and prioritize insights.
• Implement best practice pipeline frameworks.

Skills

Project Management

Stakeholder Management

Data Analysis

Problem Solving

Leadership

Interpersonal Skills

Education

Bachelor’s Degree in Data Science, Computer Science, Engineering or related fields

Tools

Data Science Tools

Business Intelligence Solutions

Data Engineering Tools

Job description

Overview

Oversee and manage multiple projects within Data Science and Data Engineering space. Perform Stakeholder and Business Engagement and manage the end-to-end delivery to client by leading teams of Data Engineers and Data Scientists.

Qualifications

Bachelor’s Degree in Data Science, Computer Science, Engineering or other related Degrees

Responsibilities

• Lead the delivery and manage the execution of Data Engineering and Data Science projects.

• Produce intelligent, scalable, and automated solutions by leveraging Data Science and Data Engineering teams.

• Develop a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs.

• Design and manage the end-to-end Data Science and Data Engineering Solutions.

• Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities.

• Develop, continuously improve, and execute an efficient framework to identify, organize and structure the team to deliver quality products/services to client.

• Support where required in developing product specification documents, scope of Work documents, Code of Conduct document with regards to project needs.

• Implement best practise pipeline framework adhering to (KDD, CRISP) and deployment of use cases identified in products & services by using ML techniques

• Establish and meet required SLAs and TAT for requirements

• Ability to understand business processes, risk and controls.

• Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements.

• Ability to utilise industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools.

• Ability to apply SDLC methodologies to solution developments

• Ability to work with minimal supervision.

• Ability to manage multiple engagements and projects simultaneously.

• Excellent interpersonal skills.

• Management and leadership skills.

• Problem Solving Skills.

• Drive and willingness to mentor and train junior members of the team.

• Prior Business Engagement and Stakeholder Management experience.

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