Project Apollo is a Founders Factory Africa venture that democratises access to lifesaving medical devices by removing the burden of ownership. Currently, Africa’s average per capita spend on medical equipment is just under $10, a fraction of the global average of $77. In Nigeria, it’s just $0.90. Project Apollo is built on the belief that every healthcare provider on the African continent should have access to high-quality medical devices that allow them to serve more patients, treat more conditions and deliver better outcomes - all at an affordable price. Apollo enables healthcare providers to lease medical devices that are managed by independent experts, and provides servicing and management of the device for the full span of its lifecycle. The result: more accessible, more affordable equipment for healthcare providers and better access to critical diagnostics and treatment for patients.
About The Role
- We’re looking for a Data Science Lead to support our portfolio startups, with a mix of strategy work and hands-on execution.
- You’ll be working across a varied portfolio of ambitious AI startups (and startups that need to implement AI), with an opportunity to work across different domains, technologies, products and infrastructure.
- You will work closely with portfolio company founders and CTOs to understand their business needs and identify opportunities for using data and analytics to drive growth and innovation. You will report to our Head Of Product, and work closely with them to craft, and adapt our theory of support for AI businesses.
Responsibilities
You will:
- Engage with our portfolio companies to support their data science ambitionsLead the development of machine learning models and other data-driven solutions for portfolio companies.
- Spot opportunities to use data and algorithms in novel ways to deliver value and improve processes.
- Work with startups across the Founders Factory portfolio to identify their data science capability gaps.
- Collaborate with engineering teams to enhance the use of data science/ML and have a strategic impact on their overall businesses
Requirements
You should:
- Have good knowledge of data science, statistical analysis and data engineering.
- In particular statistical learning methods, and the ability to work with large, complex and uncleansed datasets.
- Have good coding skills in a language suitable for data science, preferably Python.
- Be able to switch between hands-on execution and strategic advice, as needed.
- Be comfortable with deploying data services and infrastructure to production systems.
- Have high emotional intelligence and empathy for our founders and their teams as well as for your fellow colleagues in the Founders Factory operations team.
- Be organised with a strong attention to detail and an ability to balance detail with the big picture.
- Have a deep passion for defining and solving loosely defined problems.
- Have good communication and collaboration skills.
- Have 5+ years experience, especially deploying commercial data science/ML projects and working collaboratively with team members
Method of Application
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