Data Scientist

About

Description

As part of our Data Science team, you will work closely with cross-functional teams, including DataOps Engineering, to extract meaningful insights from large and complex datasets, develop visualizations to communicate these insights, provide data-driven recommendations to measure impact and improve services, and contribute to new machine learning and AI initiatives. Analyses and tools developed will be tied to measurable organizational outcomes and impact on health and policy challenges, including those faced by South Africa and the Global South. The suitable candidate would ideally have an interest in developing (or continuing to develop) expertise in combining digital technologies with evidence-based large-scale behaviour change.

Responsibilities

• Use SQL to enable and action dashboard development and ad-hoc reporting requests
• Use Python, Machine Learning, and AI to extract other insights or to build new chatbot features
• Review chatbots to ensure data gets captured as needed
• Use Tableau and Looker Studio to develop dashboards
• Collaborate with DataOps Engineering on automating recurring analysis and reporting workflows to improve efficiency
• Develop predictive and prescriptive analytics models to forecast health or behavioral outcomes
• Apply a range of Machine Learning and AI techniques, including supervised, unsupervised, and reinforcement learning, while optimizing workflows with a focus on key performance metrics like accuracy, precision, and recall
• Experiment with, implement and evaluate generative AI methodologies, such as Large Language Models (LLMs), transformers, and RAG techniques

Qualifications

• A degree in Computer Science or a related field
• A Master’s Degree in a related technical field (Data Science, Statistics, Math, Software Engineering, Computer Science) is preferred but not required
• Mathematical training to graduate level (i
• e
• , undergraduate degree in a quantitative subject)

Application instructions:

• Apply Now!!