Data Scientist

Who we are

At Spatialedge.ai, we deliver value to our customers with solutions that simplify complex decision-making using data, ML, and AI-powered applications. By integrating these solutions into core business systems, we transform how our clients navigate their daily challenges.

Key Responsibilities as a DS

As a Data Scientist at Spatialedge, you will contribute to or lead (depending on your experience) the full lifecycle from problem framing to productionised solutions.

• Data Management: Manage both structured and unstructured data. Collaborate with data engineers to define storage formats and specify data collection requirements.

• Business Alignment: Translate business needs into technical solutions. Label requirements and present complex technical approaches to non-technical stakeholders.

• Experimental Design: Set up reproducible experiments, including the selection, training, validation, and optimization of machine learning models. Evaluate model quality using business-centric metrics.

• Pipeline Integration: Integrate data preprocessing and model inference into general data processing pipelines.

• Strategic Problem Solving: Work closely with business units to identify challenges and propose data-driven solutions for effective decision-making.

• Advanced Analytics: Apply machine learning tools and statistical techniques to solve complex organizational problems.

• Communication: Maintain clear and coherent verbal and written communication to understand data needs and present results effectively.

• Continuous Learning: Stay current with the latest technologies, papers, and methodologies in the machine learning field.

• Innovation: Conduct research to develop prototypes and proofs of concept, identifying opportunities to scale insights.

Preferred Qualifications

• Honours degree in Computer Science, Engineering, or a related field; or equivalent professional experience in Machine Learning and Data Science.

• Google Cloud Platform (GCP) ML Certification or equivalent is advantageous.

• Experience with GCP-native ML tools such as Vertex AI is advantageous.

• Exposure to ML frameworks.

Why Join Us?

At Spatialedge, you will have the opportunity to work with a team of experienced professionals and gain invaluable insights into the world of ML, AI and data-driven decision-making. You will be involved in real projects that make a significant impact on our clients' businesses, including renowned companies in South Africa and abroad!