Offer summary

Qualifications:

Proficiency in Python programming for data analysis and dashboard creation., Experience with machine learning models such as Random Forest, Gradient Boosting, and AutoML., Strong problem-solving skills and proven results in building machine learning solutions., Excellent communication skills and ability to work independently in a remote environment..

Key responsibilities:

Develop and implement machine learning models to solve business problems.

Create dashboards and visualizations to present data insights.

Perform data analysis, feature engineering, and model validation.

Collaborate with team members and communicate findings to stakeholders.

Job description

ISTA Personnel Solutions South Africa we are a global BPO (Business Process Outsourcing) company, partnering with a leading provider of healthcare staffing solutions based in the USA.

Have you competed on Kaggle machine learning competitions? Are you a highly skilled in Manual Artificial Intelligence and Python? Do you have experience with Random Forest, Gradient Boosting, Auto ML?

If you have answered YES to the above questions, then we would like to hear from you!

PLEASE NOTE:

Working Hours: This role requires you to work EST hours Mon Fri from 9am to 6pm EST (15h00 to 24h00 South African time subject to change dependent on daylight savings)
Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.
Work Environment: This is a fully remote working role.

Responsibilities:

Develop and implement machine learning models to solve complex business problems from the ground up.
Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance.
Ensure models are scalable and maintainable.
Perform detailed data analysis to extract meaningful insights.
Conduct feature engineering to improve model accuracy.
Validate and clean data to ensure highquality datasets for model training.
Communicate findings and recommendations to stakeholders in a clear and concise manner.

Collaborate with team members to integrate models into existing systems and workflows.
Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh.
Present datadriven insights through interactive and userfriendly dashboards.
Provide regular reports on model performance and business impact.

Apply machine learning techniques to healthcarespecific problems
Requirements

Strong problemsolving and coding skills
Experience building machine learning, with proven strong results.
Experience with Random Forest, Gradient Boosting, AutoML
Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh

Soft Skills:

Excellent written English skills – Ability to communicate ideas clearly and concisely.
Highly organized and detailoriented – Ability to manage multiple tasks while maintaining focus and quality.
Strong time management skills – Capable of prioritizing tasks and meeting deadlines in a fastpaced environment.
Collaborative mindset – Works well within a team while also being able to take ownership of projects.

If you are not contacted within 14 working days, please consider your application unsuccessful.