Data Scientist

Palindrome Data uses contemporary machine learning to revolutionise traditional public health approaches. We currently focus on HIV and Maternal and Child Health programmes, and our work thus far has been in South Africa and the nearby region.

We’re growing the team and are opening a Data Science position to add new talent to our team and provide an opportunity for real-world work experience in Applied Data Science. The position will need to engage on all stages across a full data science project from client requirements, data preparation, experiment design & evaluation and client communication of results. We’re still a modest (sometimes) start-up and expect this position will gain a huge amount of experience as the demand for our approach to service design grows.

Requirements

Technical:

• • Experimental data preparation and feature engineering
  • Investigating and trialling advanced data augmentation methods
  • Experimenting and evaluating with different classification, clustering and explainability methods
  • Experimenting with and documenting different possible evaluation methodologies

Attitude:

• • Problem-solving
  • Self-initiated learning
  • Humility
  • Is a pleasure to work with

Teamwork:

• • Test and maintain data pipelines
  • Collaborates with analytics and business teams to improve understanding and documentation of source data models
  • Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues
  • Performs data investigations following leads, leaks and gremlins
  • Designs and evaluates open source and vendor tools for data lineage
  • Self-learning and research on the contextual public health topics we’re working in
  • Manages code repositories
  • Is passionate about new techniques and can present new methods to staff or senior stakeholders

We work remotely and want to set you up to be as productive as you can be, but also have a clear separation between work time and not work time. Our approach and hours are flexible to fit family commitments.

Qualifications / Skills:

• Outstanding teamwork and attitude
• Excellent problem solving and troubleshooting skills
• Process-oriented with great documentation skills
• Professional written communication skills with a keen sense of customer service
• Fluent in English (but 1st language not required), other languages a bonus
• A passion for public health

Required Background:

• Formal education in Statistics, Computer Science, Engineering, Epidemiology, Biostatistics, Economics or other relevant scientific field
• 1 year of any work experience and working in teams
• Python development experience or training courses completed
• Pandas or Data Science experience or training courses completed
• We strongly encourage folks with non-traditional backgrounds to apply

This application will require:

1. Your CV,
2. Cover letter describing your interest in data science, and include
3. A short paragraph on an application of data science, in the real world, that excites you

If you are looking for a challenge and to grow your experience on hard problems, we’re excited to chat. If you are looking for an easy job doing the same thing daily this is probably not for you. Get after it.