ALX Data Scientist (Learning Experience)

ALX is at the forefront of educational innovation, committed to delivering cutting-edge learning experiences in Data Science, Machine Learning, Data Engineering, and AI. We are seeking a highly skilled and experienced Data Scientist and/or Machine Learning Engineer to join our Learning Experience Design Team. This role demands a blend of technical expertise, educational insight, and corporate experience to ensure our content is both academically rigorous and practically applicable.

 

ABOUT US

ALX Africa, a Sand company, is at the forefront of addressing the global tech talent shortage. We provide the tech-fluent leaders of tomorrow with the skills and tools they need to succeed in today's digital world. Through our cutting-edge technology training programs, we empower individuals to build impactful careers in high-growth industries. Our partnership with Sand provides our graduates with access to a global network of career opportunities, ensuring a seamless transition from learning to employment.

ABOUT THE LEARNING EXPERIENCE DESIGN TEAM

The Learning Experience Design team consists only of data people, but we are also scientists, engineers, teachers, creatives, writers, and many other things. We design, develop, and maintain instructor-led and self-paced data curriculums and other learning interventions that are story-driven, problem-centric, intuitive, interactive, and beautiful for ALX.

 

ABOUT THE ROLE

• Research and develop high-quality learning objectives and activities, including projects, walk-throughs, and workshops in Data Science, Machine Learning, Data Engineering, and AI.
• Assist in the development of R&D projects using LLM agents, NLP analysis, automated unstructured assessments, and AI-led learning journeys.

 

REQUIREMENTS

• Master's degree or PhD in a STEM or related computational field. 
• Proven experience (+3 years) in at least three of the following:
• Developing and/or applying machine learning algorithms. Experience in Large Language Models is preferable.
• Advanced analytics, including graph analytics, time series analysis, and optimization. 
• End-to-end data projects using machine learning/predictive modeling (including deployment, integration, and evaluation at scale).
• Data modeling and database design.
• Cloud infrastructure and/or computing experience, preferably AWS certified.
• Experience with MLOps/DevOps tools and practices (containerization, orchestration). 
• Proficiency in programming languages, including Python and SQL, and tools like TensorFlow, PyTorch, or similar.
• Proven experience with version control through Git and GitHub.
• A good understanding of the machine learning and statistical techniques and the ability to explain them to others. 
• Leverage strong analytical, conceptual, and problem-solving abilities to tackle complex challenges.
• Strong inclination for innovation and research, driving forward-thinking initiatives with a proactive and inventive mindset.
• Work autonomously as a resourceful self-starter and contribute as a highly motivated team player.
• Excellent command of English, with strong verbal and written communication skills for explaining technical concepts to non-experts.

This is a remote job, which means that you can work from anywhere in the world. However, preference will be given to candidates in GMT to GMT +4 time zones.

We invite all interested candidates to submit a portfolio showcasing their previous work in data science or related fields.