The fast growing Enlabeler team is looking for a Senior Data Scientist who can drive and fast track the development of our data science strategy and implementation. Enlabeler is a leading data processing company with multiple international and South African based clients.
What we’re looking for
We are a growing team of driven entrepreneurs on a mission to build something great. We are looking for a self-starter who can take initiative, work autonomously and take ownership of the data strategies, data science and AI applications into our software tooling and assisting our clients with their data science needs. We are looking for an experienced data scientist who can lead a growing team of enthusiast data colleagues in a fast paced, constantly changing environment. Our culture and purpose is our number one priority, and therefore we need a team player with a shared passion for job creation in Africa through the use of technology.
What we are looking for
Formulating, suggesting, and managing data-driven projects which are geared at furthering the business’s interests. Technical interviews and hiring of the future data science team.
Collating and cleaning data from various entities for later use by juniors.
Delegating tasks to Junior Data Scientists in order to realise the successful completion of projects.
Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
Cross-validating models to ensure their generalizability. Selecting and employing advanced statistical procedures to obtain actionable insights.
Producing and disseminating non-technical reports that detail the successes and limitations of each project.
Suggesting ways in which insights obtained might be used to inform business strategies.
Staying informed about developments in Data Science and adjacentfields to ensure that outputs are always relevant.
Design and implementation of new model creation
Design and management of dataset creations
Cloud and technical support for data pipelines
Setting up and maintaining data pipelines for client platforms and guiding juniors with the execution and maintenance of the pipelines
Applicant requirements (skills and qualifications)
Advanced degree in data science, engineering, computer science, or similar (Msc and PhD preferred).
Senior: 4+ years of full-stack data science experience
Extensive experience in Python and SQL development; 4+ years of experience.
Machine learning: Competent in machine learning principles and techniques such as regression, classification, unsupervised learning and neural networks; 4+ years of experience.
MLOps/DevOps: Experience with deployment, CI/CD and machine learning model life cycles.
Deployment Strategies: Knowledge of and some experience with containerized services and distributed computing, like Git, Docker and Kubernetes.
Cloud Experience: AWS is preferred, but GCP and Azure will be considered; certification and 2+ years experience.
Applicant non-technical requirements
Demonstrable history of devising and overseeing data-centred projects.
Contribution to Github repositories and/or other source code repositories is advantageous.
Outstanding supervision and mentorship abilities.
Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
Good communication and time management skills.
Ability to explain technical requirements to stakeholders at all levels and ability to clearly communicate deliverables of each project to team members
Fully remote working environment (work from home) with access over labelling hubs across CPT and JHB, and the opportunity to continuously develop yourself. Ideal candidate is able to work from CPT or JHB on a regular basis.
Not sure exactly what we’re looking for or just want clarification? We’d be happy to chat with you and clear things up. Anytime!