Data Scientist

About Loko

Loko is building the logistics and commerce backbone for African cities. We connect restaurants, couriers, and customers across Zimbabwe with real-time dispatch, dual-currency payments, and tools that work on the networks people actually use.

We’re early, growing quickly, and solving problems that don’t have ready-made answers. Every order that moves through Loko touches software our small team writes, and the combination of hard engineering and real local impact is something we don’t take for granted.

If building a generational company out of Harare resonates with you, please apply.

The Role

We’re hiring a data scientist to own the models that keep Loko efficient — from delivery ETAs to dispatch decisions to personalised discovery. You’ll pair with engineers to ship models into production, not just notebooks, and you’ll measure success in marketplace outcomes, not leaderboard scores.

What You'll Work On

• ETA & prep-time models: getting delivery estimates right across restaurants and cities

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• Dispatch: ranking rider–order assignments under real-world constraints
• Discovery & ranking: helping customers find food they’ll love
• Experimentation: A/B frameworks, causal analysis, and decision-grade dashboards
  
  

You Might Be a Fit If You

• Have 3+ years of applied ML experience with models in production
• Are comfortable in Python with SQL, plus one of PyTorch / XGBoost / scikit-learn

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• Can reason about marketplaces, two-sided metrics, and experiment design
• Communicate clearly with product, engineering, and operations
• Want your models to move real-world metrics, not just eval curves
  
  

Perks & Benefits

• Hybrid schedule at a modern hub office

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• Relocation support if you’re joining from elsewhere
• Private health insurance for you and your family
• Pension / retirement contribution per local norms
• Learning stipend for courses, books, and conferences
• Meaningful equity in what we’re building
  
  

Loko is an equal opportunity employer. We’re committed to providing equal employment opportunities regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law.