Lead Data Scientist (m/f/d)

Quality education for all

We believe that all children should be given the chance to reach their full potential. However, more than 600 million children in the world do not achieve foundational skills like literacy and basic numeracy – despite the majority of them going to school.

At EIDU, we have built an education platform designed to work for children in low- and middle-income countries (LMIC) who do not have access to the high-quality education that all children deserve. We provide tools for students, teachers, teacher trainers and governments to capacity build across the entire education system. An externally run randomized control trial has found we are in the top 10% of effective LMIC education interventions in the world.

One of the core elements of EIDU’s approach to improving outcomes for our students is Learning Engineering. The vast anonymised data generated by our large user population creates the opportunity to systematically measure the evolution of learning in underrepresented populations and identify how we can best improve this. We use this to build AI-systems that are designed to work in our environments, this includes traditional decision making systems as well as more advanced generative systems.

With a mission like EIDU's, diversity of thought and background within our team is crucial. We value those who can bring a diverse perspective to our platform and help us provide high-quality education to as many children as we can across the globe.

In this role, you will:

• Be the technical lead for a Data Science team dedicated to creating innovative solutions that benefit our population; This includes building personalisation algorithms so each student is working with the most impactful content for them.
• Collaborate with our Learning team to deploy generative models such as LLMs that can generate new content that is culturally relevant and effective.
• Design features which can meaningfully communicate a student’s learning to their teachers.
• Co-ideate and co-design on new ways in which Data Science can accelerate learning outcomes. in lower income environments.
• Track the impact of your work through randomised control trials and A/B testing.

What you should bring

• The desire to use your skills to bring about positive social change.
• PhD in Data Science / Education or 5 years of equivalent professional experience.
• Proven experience leading more junior team members.
• Proven experience in generating insights about user behavior from large datasets.
• Experience building, or detailed knowledge, of algorithmic recommender systems.
• Experience or a strong interest in the use of data science in the field of education.
• Experience in large language models (LLMs) is desirable but not required.
• Experience in Graph Neural Networks is desirable but not required.
• Proficiency in Python and SQL.

What we offer

• An international and passionate team located in Kenya and Germany, who support and help each other grow to achieve the great goal we set out for.
• A modern company culture that emphasizes transparency and freedom. We care about results, and believe people work best when given the freedom to structure their work themselves, so there is a high degree of flexibility with regard to working hours and vacations, and the option to work from home up to four days per week. Additionally, we are open to candidates available on a part-time basis.
• An agile approach informed by data at all levels of the organization.
• Quarterly one-week hackathons where we freely explore new ideas.
• Exciting trips to Kenya to see your impact firsthand and meet our teachers and learners.
• A (seriously) unparalleled equity scheme.
• Social impact like no one else: we are working to fix one of the world’s biggest problems.

If this resonates with you, and you think you could help us make a difference, please apply here

EIDU is an inclusive workplace for people of all backgrounds and walks of life. We especially encourage women, as well as members of other groups underrepresented in the technology industry, to apply. We look forward to hearing from you and to working together on this exciting chance to make a global change.