HEAD OF ARTIFICIAL INTELLIGENCE – own DATA SCIENCE AI Strategy in E-COMMERCE Retail – R1.6 Mil – R1.8 Mil – CAPE TOWN
An exceptional and rare opportunity for a HEAD OF AI / SENIOR DATA SCIENTIST to drive ARTIFICIAL INTELLIGENCE, MACHINE LEARNING and Data Science Strategy. This role is with a fast-growing RETAIL E-COMMERCE BUSINESS who are destined to become the dominant ONLINE RETAILER across Africa.
BASED in CAPE TOWN, this HEAD OF ARTIFICIAL INTELLIGENCE role offers a salary of around R1.7 Million / annum (negotiable).
A fast-growing ONLINE RETAILER, an E-COMMERCE Business establishing market dominance across Africa.
As a proven AI Leader, you will drive innovation, create, and deliver Artificial Intelligence / Machine Learning Solutions, which will deliver growth and profit. This is a LEADERSHIP POSITION within the AI division.
Working with Business Leaders across the company to understand the challenges that can be solved through innovative Artificial Intelligence /Machine Learning based solutions, you will lead the teams to deliver those solutions.
Essentially you will be the Subject Matter Expert on Artificial Intelligence/Machine Learning disciplines, providing thought leadership on emerging topics and trends, while working with your team to establish and deliver AI roadmaps across multiple focus areas.
As HEAD OF ARTIFICIAL INTELLIGENCE your role will be transformative, collaborative, and inspirational, bringing deep expertise, a passion for coaching, leading and inspiring cross functional teams to solve business challenges, create solutions and deliver business value.
You will shape and lead a world-class artificial intelligence division comprised of experts in machine learning, data science, product management and software engineering.
To execute on your roadmaps, you will oversee multiple teams of highly talented data scientists, data engineers, machine learning engineers and product managers, aimed at delivering projects reliably against projected roadmap timelines.
An evangelist of Machine Learning, able to help execs and stakeholders understand the capabilities and potential value of ML.
10+ years comprehensive advanced analytics, research, modeling/data science.
Leadership experiences in leading Artificial Intelligence and Machine Learning teams.
Bachelor’s, Master’s or Ph.D. in AI, Computer Science, ML, Electrical Engineering, or related fields such as Statistics, Applied Math or Computational Neuroscience.
A strong record in delivering machine learning and/or data products including defining ML problems, identifying data strategy, building ML MVP and scaling/productizing a prototype to full-scale production.
A strong understanding of both the technical aspects of machine learning as well as business needs. Ability to bridge the gap between business and technology with respect to machine learning.
Ability to go deep technically on which AI methodologies are best suited to specific business and customer problems, as well as elevate your thinking to consider business and strategic implications.
Strong experience in advanced analytics, research, modeling, data science, and business analytics.