Gauteng: Data Scientist posted by Psybergate

About the Role

We are seeking an experienced Data Scientist to join our team at Psybergate in Gauteng. As a key member of our analytics team, you will be responsible for extracting and analyzing digital, clinical, and behavioral data to inform product design and customer experience strategies for our digital solutions. You will develop data science models and A/B testing pipelines for deployment, applying statistical techniques, behavioral science principles, and data science models to measure and optimize member engagement and user experiences. This is an exciting opportunity to join a dynamic team and contribute your expertise in data analysis and interpretation.

Key Responsibilities

• Extracting and analyzing digital, clinical, and behavioral data to inform product design and customer experience strategies for digital solutions.
• Developing data science model and A/B testing pipelines for deployment.
• Applying statistical techniques, behavioral science principles, and data science models to measure and optimize member engagement and user experiences for digital solutions.
• Working closely with Organisation Health Digital to ensure insights and modelling inputs align with product objectives and app engagement outcomes.
• Collaborating with systems and engineering teams to integrate data science pipelines into the Health Systems and Health digital solutions.
• Presenting insights and results to business stakeholders and senior executives, highlighting the impact of personalized digital experiences on user engagement and experience.

Requirements

• BSc degree in Mathematics, Statistics, Computer Science, or related fields with a minimum average of 65% across all subjects.
• 5 years’ experience as a Data Scientist.
• Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing
• Demonstrable working experience in an analytics position, where the focus was on building and implementing machine learning models to solve business problems.
• Experience accessing and analyzing data using language/tools/databases such as Python, R, SQL, etc.
• Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms.
• Some experience in working with big disparate sets of data and exposure to big data tools.

Qualifications

• BSc degree in Mathematics, Statistics, Computer Science, or related fields with a minimum average of 65% across all subjects.

Salary & Benefits

Not specified.