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About Sand Tech Holdings Limited
Sand Tech Holdings Limited is a fast-growing technology services company with a mission to create work opportunities for millions of Africa's youth and solve the world's shortage of technology talent. Our company has 450+ staff members from 48+ countries with plans to acquire several companies around the world to become a multi-billion dollar global technology services provider that employs over 100K employees across the globe.
We have 2 brands represented in our ecosystem:
- ALX: We're cultivating the fastest-growing pool of technology talent globally, training aspiring professionals in software engineering, cloud computing, data science, and Salesforce across over 60 countries. ALX fosters a vibrant community for top tech talent, igniting transformative careers by connecting top technology talent with extraordinary opportunities for impact.
- Sand Technologies: We support enterprises and scale-ups around the world to develop world-class technology products, build great technology teams, generate more revenue, and deliver outstanding customer experience. Our clients include one of the largest cloud computing providers in the world as well as Bestseller A/S (Denmark), Create Prime (New Zealand), Stanbic Bank (Kenya), and Tamara (Dubai).
With varying levels of expertise in software development, data, cloud, machine learning, artificial intelligence, UX design, web development, etc., we provide unparalleled opportunities to technology talent worldwide while reshaping industries, disrupting traditional business models, and creating new opportunities for innovation and growth.
About the Role
We are seeking an experienced Senior Data Scientist to join our growing data science team. As a key contributor, the Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning, and data analysis, along with a proven track record of delivering impactful insights and solutions - with demonstrated experience getting data science solutions into production.
- Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources.
- Improve your knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research, and AI Ethics while mentoring others in these competencies.
- Collaborate with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services.
- Communicate results and impact to stakeholders, including technical and non-technical audiences.
- Stay current with industry developments, identifying opportunities for applied research and development.
- Mentor junior data scientists, fostering a culture of continuous improvement and innovation.
Requirements
- Fluency in Python with experience with at least one cloud provider; preferably Azure.
- Qualified experience in a related field, including, but not limited to, Data Science, Machine Learning & Computer Science.
- 5+ years of experience in data science and machine learning, with a strong track record of independent research and development a plus.
- Strong technical background, with expertise in a range of machine learning algorithms and data science techniques.
- Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices.
- Excellent communication skills, with the ability to convey complex data science concepts to technical and non-technical audiences.
- Strong collaboration skills, with the ability to work effectively with cross-functional teams.
- Passion for data science and machine learning, with a desire to continuously learn and innovate.
Nice to Have
- Experience with GISc (raster & vector-based workflows), graph theory, time series modelling, and XAI.
- Experience sharing research in academic or industry forums, and drive to expand Sand's industry footprint.
- Experience in retail, utilities (e.g. water or telco), or financial services industries.
