Remote Python Developer - Data Analysis & Machine Learning
About the Role
We are seeking a talented Remote Python Developer with a focus on data analysis and machine learning to join our dynamic team. In this role, you will leverage your expertise in Python to develop and implement data-driven solutions that enhance our operations and support our clients. As a Remote Python Developer, you will have the opportunity to work from the comfort of your home while contributing to exciting projects in the field of data science.
What You'll Do
- Design and develop data pipelines to facilitate data analysis and machine learning processes.
- Conduct statistical analysis and data cleaning to ensure data integrity and reliability.
- Collaborate with cross-functional teams to identify data needs and provide actionable insights.
- Utilize machine learning frameworks such as PyTorch and Random Forest to build predictive models.
- Perform code reviews and maintain high standards of code quality.
Requirements
- Proven experience as a Python Developer with a focus on data analysis and machine learning.
- Strong knowledge of data manipulation and statistical analysis techniques.
- Experience with machine learning libraries such as PyTorch and Pydantic.
- Familiarity with data engineering concepts and tools.
- Excellent communication skills and ability to work collaboratively in a team environment.
Nice to Have
- Experience in MLOps and deploying machine learning models.
- Knowledge of financial reporting and billing support.
- Familiarity with clinical documentation and prior authorization processes.
What We Offer
- Flexible working hours to promote work-life balance.
- Professional development opportunities to enhance your skills.
- Access to various resources and tools to support your work.
- Compensation for South African public holidays.
- A collaborative work environment with a focus on teamwork.
This Remote Python Developer position offers a unique opportunity to work in data analysis and machine learning while enjoying flexible hours and professional growth.
Who Will Succeed Here
Proficient in Python with hands-on experience in libraries such as PyTorch for machine learning projects and Pydantic for data validation and settings management.
Self-motivated and disciplined, thriving in a remote work environment by effectively managing time and prioritizing tasks to deliver data-driven solutions within tight deadlines.
Analytical mindset with a strong foundation in statistical analysis and data engineering principles, capable of transforming complex datasets into actionable insights to support operational enhancements.
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