This is a fully remote position, open to applicants in South Africa.

📋 Description

• Develop and deploy high-quality predictive models utilizing industrial data sourced from sensors and IoT devices.

• Create and execute machine learning models to enhance application performance, employing state-of-the-art algorithms.

• Partner with clients to pinpoint opportunities for growth and optimization through data-driven strategies.

• Produce fully testable, high-quality code using Python.

• Examine intricate datasets to extract insights and track trends.

• Oversee ML pipelines, encompassing data exploration, sampling, training data creation, feature engineering, model construction, and performance assessment.

⛳️ Requirements

• A minimum of 2 years of experience in the field of data science.

• Proficiency in statistical analysis, data mining, machine learning, and predictive modeling techniques.

• Demonstrated experience with large datasets and data visualization tools.

• Strong programming skills in Python.

• Familiarity with cloud technologies is an advantage (e.g., Azure, AWS, GCP).

• Experience with time series databases and data pipelines is beneficial.

• Excellent communication and interpersonal abilities, capable of conveying complex data concepts to non-technical audiences.

• A Bachelor's degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics, Physics) is mandatory; a Master's degree or Ph.D. is preferred.

• Proficient in English.