Data Innovator

Bebeedatascientist; Gauteng; On-site; ZAR 200 000 - 300 000; Full time

Job summary

A healthcare innovation company is seeking a Senior Data Scientist in Gauteng to leverage data for driving improvements in patient outcomes. The ideal candidate will develop predictive analytics solutions using tools such as Python and Microsoft ML while collaborating with various stakeholders. A strong background in statistics and experience in agile environments is essential. This role offers the opportunity to make a meaningful impact in the medical field through data-driven insights.

Qualifications

• Experience in statistical analysis and machine learning.
• Strong problem-solving skills to understand business needs.
• Familiarity with agile development practices.

Responsibilities

• Collaborate with stakeholders to identify growth opportunities.
• Develop innovative business solutions based on predictive analytics.
• Provide management reports with visual insights.

Skills

Statistics

Python

SQL

Agile methodologies

Microsoft ML

Education

Degree in statistics, computer science, engineering, or mathematics

Tools

Numpy

Pandas

Job description

Senior Data Scientist

Are you passionate about leveraging data to drive healthcare innovation? We are seeking a highly skilled data scientist to join our dynamic team in revolutionizing the medical field with cutting-edge insights. If you're ready to make a meaningful impact on patient outcomes, we want to hear from you.

Role Description

The ideal candidate will collaborate with industry stakeholders to identify opportunities for growth and develop innovative business solutions. The successful individual will have a strong background in statistics, computer science, engineering, or mathematics, as well as relevant certifications such as Python, Microsoft ML, and tools available within the machine learning ecosystem (i.e. Numpy, Pandas). They should also possess experience working in agile development teams and be familiar with SQL.

Responsibilities

• Understanding the business needs
• Defining issues related to predictive analytics products
• Developing automated predictive analytics solutions using Python / Microsoft ML tools
• Refining models by providing management reports that include relevant visuals
• Deploying results into production environment of various company operations throughout all stages of product life cycles