Data Scientist at CarePay Ltd

Main purpose of the job

Together with data analysts, engineers, and other data scientists, you will work on ideation, piloting, programming, productizing and monitoring of data-based use cases for both CarePay’s customers (Patients, Providers, Payers) and CarePay’s internal processes. Examples include detecting fraud throughout the whole patient journey, automating claims management, ML-driven customer segmentation and campaigning, ensuring data privacy for all users and for all analyses, deep-diving with analyses for different use-cases of the organization, and creating data pipelines to keep everything running. This work will be based on data infrastructure that is already set up and continuously improved. You will be working with a diverse and driven team that prioritizes impact over cutting-edge methods. We work within an agile framework with a strong focus on collaboration, transparency and quality with daily stand ups, peer code review, automated testing and other best practices.

Minimal qualifications

1. BSc in a quantitative field
2. Proficient in Python, including experience with Data Science toolboxes (e.g., pandas, sklearn)
3. Interest in global development and healthcare

Preferred qualifications

1. Applied data science experience including working with end-users
2. Experience with SQL, Airflow, data visualization, data warehousing, AWS, software engineering
3. Experience in translating business questions and using available data to arrive at an answer
4. Experience with developing solutions as part of a team
5. Experience with healthcare data
6. Experience working in a highly competitive, international business environment

What we offer

1. The opportunity to work on projects with high social impact with a fun and motivated team
2. Startup culture with an international team, flat hierarchies, and Friday beers
3. Travel opportunities to Amsterdam or Nairobi
4. Your choice of equipment and tools
5. Competitive salary and flexible hours