Data Scientist

About the role

Bykea is looking for a Data Scientist to tackle challenging problems across transport, logistics, commerce, economics, and fintech. You will use machine learning, deep learning, forecasting, optimization, simulation, and geospatial data to create solutions that directly impact products and operations.

Key responsibilities

• Build predictive models and algorithms for ETA prediction, churn, demand forecasting, pricing, and marketplace optimization.
• Solve complex marketplace problems such as intelligent allocation, driver‑passenger matching, dynamic pricing, routing, and scheduling.
• Work with large‑scale data, ETL pipelines, data warehouses, and real‑time streams to extract insights and build models.
• Partner cross‑functionally with Engineering, Product, Marketing, Operations, Finance, and Customer Service to define metrics, run experiments, and deliver business impact.
• Create repeatable data solutions, including reliable datasets, modelling pipelines, monitoring systems, and analytical tools.

Required profile

• 2–5 years of professional experience in Data Science, Machine Learning, Data Engineering, or a related technical role.
• Strong understanding of machine learning, deep learning, statistics, and algorithmic optimization.
• Hands‑on experience with SQL and Python, and ability to manipulate large datasets.
• Experience building and evaluating models using frameworks such as scikit‑learn or Spark MLlib.
• Ability to work independently, learn quickly, and communicate technical concepts to non‑technical stakeholders.

Required skills

• Python
• SQL
• scikit‑learn
• Spark / Spark MLlib
• Hive
• NoSQL databases
• Machine learning & deep learning techniques
• Statistical modeling, forecasting, optimization, simulation
• Geospatial data analysis
• NLP, clustering, classification, neural networks
• R or Scala (nice‑to‑have)