Data Scientist

Who We Are! 🌍 Africa has the world’s youngest and fastest-growing population. By 2035, the continent is poised to contribute more young people to the global workforce each year than the rest of the world combined. At Educate! we're obsessed with impact. We leverage iterative learning to build highly scalable youth employment solutions aimed at unlocking the potential of the world’s youngest continent. Africa to learn, earn and thrive in today’s economy by: Introducing an employment-focused school subject into secondary and Delivering livelihood boot camps for out-of-school youth, with a focus on marginalized rural girls and young women. To date, more than 500,000 youth have been meaningfully impacted across Uganda, Rwanda, Kenya, and Tanzania, and along the way, East Africa. African staff and 300 volunteer youth mentors. We prioritize building an engaging, fulfilling and growth oriented work environment. 50% of our top 30 leaders have been with us for over 5 years, 10+ alumni have started their own organizations, and 6 current or former team members were Acumen Fund East Africa fellows. We have been backed by top foundations such as Imaginable Futures, Livelihood Impact Fund, Jack Dorsey’s #startsmall, CIFF and Echidna Giving. Educate! won a 2018 Klaus J. Jacobs Prize and a 2015 WISE Award, and has been highlighted by the World Bank’s S4YE's Impact Portfolio, an Al Jazeera documentary, BBC, The Brookings Institution as one of 14 case studies on scaling education, and the Gates Foundation as a Goalkeepers Accelerator. In 2022, we received a catalytic investment from philanthropist Mackenzie Scott to scale our systems change work. Africa each year. Good to note: To Our Awesome Applicants! 🚀💫 We know that incredible candidates someti You will leverage behavioral science and economic theory to develop "Theories of Change" that map the latent social mechanisms driving youth success. You’ll formulate and test rigorous hypotheses to identify the "why" behind program performance, turning social science theory into predictive variables.