Senior Data Scientist

Network It; Gauteng; Remote; ZAR 400,000 - 500,000; Full time

Job summary

A healthcare-focused company is seeking a skilled Data Scientist to impact patient outcomes through data-driven insights. Responsibilities include optimizing decision-making, collaborating with stakeholders, and developing predictive analytics solutions, requiring a strong educational background and significant experience in data science.

Benefits

Fully remote work

Pension

Medical aid

Qualifications

• 5-6 years experience in data science projects.
• Experience in high-scale production environments.
• Relevant certifications in data science are required.

Responsibilities

• Assist in developing data-driven monitoring and decision support.
• Engage business stakeholders to identify opportunities and requirements.
• Optimize decision-making with data science.

Skills

Machine Learning

Data Analysis

Statistical Modeling

Problem Solving

Collaboration

Education

Degree in Statistics, Computer Science, Engineering, Mathematics

Tools

Python

SQL

Jupyter Notebooks

AWS

Hadoop

Job description

Reference : BIT-GBD-1

Are you a skilled Data Scientist with a passion for healthcare?

Look no further!

Our client is seeking a talented individual to join them in revolutionizing the medical field through data-driven insights.

If you're ready to make a meaningful impact on patient outcomes and healthcare innovation, we want to hear from you.

Join our client and be part of a dynamic team dedicated to leveraging data for better health outcomes in the healthcare industry.

Duties & Responsibilities

About: Assist the Data Science and Analytics team in developing and implementing data-driven monitoring, measurement, insights, and decision support. The role of the Data Scientist involves offering insights, optimizing decision-making with data science, and developing automated predictive and prescriptive analytics solutions to support various business operations and healthcare challenges.

The position requires participation in the entire data science development process, including understanding business needs, defining problems, data cleaning and feature engineering, modeling and simulation, hypothesis testing, machine learning model training, refinement, testing, deployment, and tracking results.

Job Responsibilities / KPAs

• Determine and evaluate cutting-edge data science methods for predictive analytics products.
• Research data science trends, especially in healthcare applications.
• Engage business stakeholders during the discovery phase to identify opportunities, gather requirements, and discuss modeling outcomes.
• Collaborate with industry stakeholders to develop solutions for key business issues and create new business plans.
• Create conceptual models or designs to meet corporate needs.
• Work with subject matter experts to identify relevant data sources and understand business requirements to ensure appropriate model deployment.
• Review and update all data science-related policies.
• Present findings, trends, and patterns in complex datasets clearly and concisely, supporting recommendations with visuals and discussions.
• Provide management with succinct reports including relevant visuals and insights.

Role Requirements

• Degree (Honours, Masters, or PhD) in Statistics, Computer Science, Engineering, Mathematics, or related fields.
• Relevant data science certifications (Python, Microsoft, AWS, Hadoop, big data, machine learning, cloud infrastructure).
• Minimum of 5-6 years' experience in data science projects.
• Experience with Python (including libraries like Numpy, Pandas, Matplotlib, SciPy) and working in Jupyter notebooks.
• Proficiency with SQL and handling large-scale datasets.
• Knowledge and practical experience applying machine learning techniques.
• Experience working in agile teams and operationalizing data science solutions.
• Experience in high-scale production environments is critical.

Salary

R55,000 - R66,000 per month plus benefits including fully remote work, pension, and medical aid.

Apply now!