Location:Centurion

Salary Market: Market related Cost to Company

Company Overview:

Lightstone Auto is an intelligent solutions company with strong, automotiveindustry-specific expertise and core capabilities in Dealer F&I systems, marketperformance and forecasting analytics and data management.


We specialize in delivering integrated, online knowledge solutions, batch andreal-time data quality solutions, and a broad range of dealership focusedanalytical products to a range of automotive manufacturers, dealerships,government and financial services clients.


We hire exceptional people and provide them with the environment where theycan excel. Our non-corporate culture encourages flexibility, collaboration andinnovation.


Role overview

The strategic Lightstone Group Analytics unit or A-team consists of industry focussed


nuclear teams in business intelligence and predictive analytics supported by a cross-

industry production analytics team driving the automation, improvement and standardisation of our insights products and processes. In pursuit to solve more

impactful problems and unlock better opportunities for our clients, our teams

pioneered solutions in the field of narrow AI and Machine Learning resulting in more

useful insights products and also allowed us to start building more prescriptive

analytical solutions to unlock additional superpowers for the users of our workflow and

platform systems.


As the Head of Advanced Data Science at Lightstone, you will play a pivotal role in

shaping the future of our data science and AI strategy. Your work will be the

cornerstone of innovation, transforming complex data into actionable insights that

drive significant business impact for our clients across various industries. This is more

than just a leadership position; it’s an opportunity to pioneer the next generation of

predictive and prescriptive analytics solutions.

In this role, you’ll also have the opportunity to lead talented and high performing data

scientists, guiding them in the execution of high-impact projects that align with our

strategic objectives. You’ll be at the forefront of advancing our machine learning

capabilities, ensuring we stay ahead of industry trends and technological

advancements. Your leadership will be crucial in fostering a culture of continuous

learning and high-impact innovation within the team.


Qualifications/Requirements

BCom/BSc Honors/MCom/MSc/PhD Statistics, Mathematics or computer science (must have proven machine learning building experience.  


Experience/Technical Skills:

  • 10 years or more relevant analytical experience with at least 3 in ML/AI
  • Data Analysis: Exceptional ability to work with, analyse, interpret, and develop insights products on data.
  • Machine Learning: Strong understanding and practical application of statistical concepts and machine learning techniques.
  • Technical Proficiency: Expertise in Python, R & SQL required with experience in TensorFlow, Hugging Face, FastHTML, FastAPI, Flask and Django advantageous.
  • Familiarity with Docker containers and predictive model deployment in Microsoft Azure or similar.
  • Working with virtualised applications and programming environments.
  • Adaptability: Ability to adjust to different programming environments based on the project needs.
  • Professional approach to report writing, documentation and other written communications.
  • Familiarity with Agile concepts and their application in a Data Science environment.


Non-technical skills:

  • The ideal candidate can articulate their purpose and values clearly and finds resonance with our purpose and values.
  • Leadership Potential: Demonstrates strong leadership capabilities with a strategic thinking mindset.
  • Growth Mindset: A passion for continuous learning and innovation, with a client-centric approach to problem-solving.
  • Communication: Clear and confident communication skills, with the ability to articulate complex solutions to various stakeholders.
  • Team Collaboration: Ability to work effectively within a team and independently, with a focus on delivering high-impact results.
  • Ethical Approach: A deep understanding and respect for the ethical implications of data science and AI.