About Kohort
Kohort is an AI-powered growth platform for mobile game studios, spanning user-acquisition optimisation, cohort-based LTV forecasting, growth financing, and M&A diligence. Our models are trained on over $6bn of UA spend across 300+ games and have underwritten $12bn+ in transactions. We are backed by AlbionVC, Eurazeo, The Raine Group, and Triple Point.
We are a group of gaming and data experts from King, Sensor Tower, Tripledot, Mistplay, Bloomberg, and Football Radar. Our clients range from large listed developers and publishers to up-and-coming start-ups building at the cutting edge of mobile gaming.
kohort.io
Why Kohort
- Career acceleration: We are accelerating as only a startup can. Join us in a zero-politics, no-drama, high-energy, impact-focused environment on the ground floor.
- Define your career: We are working on a $6bn problem — that's how much UA spend is wasted in mobile gaming each year. Let's fix it together.
- We live and breathe gaming: You'll work with the biggest game studios and on major gaming PE and VC deals.
What you will do
- Build, train, and improve machine learning models for LTV forecasting and ROAS prediction.
- Work with large-scale cohort and user-acquisition data to extract reliable signals.
- Help ship models into production pipelines that drive daily, automated campaign recommendations.
- Collaborate closely with engineering and product to turn models into customer-facing features.
Experience
- Currently working as a Data Scientist, ML Engineer, AI Engineer, or Software Engineer
- Solid Machine Learning background — model training, evaluation, and iteration (essential).
- Strong Python and SQL.
- Hands-on experience with: PyTorch (torch), XGBoost, numpy, polars, git.
Location
- Based in South Africa (Cape Town preferred). Remote-first, with access to in-office collaboration and several company-wide gatherings throughout the year.
Preferred
- A STEM degree — engineering, computer science, or mathematical statistics — ideally from UCT, Wits, Stellenbosch University, or the University of Pretoria.
- Exposure to production ML / MLOps, time-series or forecasting problems, or large-scale data.
- Experience with distributed, batch, or streaming data frameworks.
- Interest in gaming or ad-tech.
What you will receive
- Competitive salary
- Employee Share Scheme
- Income protection and life cover
- Wellbeing rewards
- Employee Assistance Program
United States