Data Scientist

Recruiter:

Data Centrix

Job Ref:

JHB006581/Mo

Date posted:

Monday, January 27, 2025

Location:

Johannesburg, South Africa

SUMMARY:
MTS's client in the Healthcare sector is looking for a talented Data Scientist to join their Data Science and Anlystics team. As a Data Scientist, you will be responsible for analyzing large-scale datasets, developing machine learning models, and providing insights to drive data science initiatives. The ideal candidate should have strong skills in Python-based machine learning frameworks, familiar with Jupyter notebooks, and strong SQL experience. You should also have at least 5 years of hands-on experience in data science projects and hold professional certifications in data science and related technologies.

POSITION INFO:
Inherent Requirements

Degree (Honours, Masters or PHD) in quantitative fields such as Actuarial Science , Statistics, Computer Science, Engineering, Mathematics and / or a combination of these.
Professional certifications in data science and related technologies (e.g. Python, Azure, AWS, Spark, big data, machine learning, cloud infrastructure.
A minimum of 5 years’ hands-on experience leading or contributing to data science initiatives.
Proficiency in Python-based machine learning frameworks and libraries (NumPy, Pandas, Matplotlib, SciPy) and familiarity with Jupyter notebooks. Strong SQL skills and a track record of working with large-scale datasets.
Demonstrated expertise in applying machine learning techniques to solve real-world problems..
Experience working within agile development teams and methodologies.
Proven ability to operationalize data science models or data-driven product solutions.

Role Summary

The role spans the whole data science lifecycle - from gaining a deep understanding of the business context and refining problem definitions, through rigorous data preprocessing, feature engineering, and model experimentation, to conducting robust hypothesis testing and training of machine learning models. Ultimately, the Data Scientist will deploy these solutions into production environments, continuously monitor and refine outcomes, and ensure that data-driven intelligence directly enhances the organization’s healthcare initiatives.

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