Lead Data Scientist

Key Responsibilities:

Data Strategy & Leadership:

Develop and execute a comprehensive data strategy aligned with the company's business objectives for global operations, focusing on areas such as credit scoring, fleet optimisation, predictive maintenance, customer behaviour analysis, business insights, and market forecasting.

Build, mentor, and lead a high-performing team of data scientists and analysts as the company scales.

Champion data-driven decision-making across all departments in BasiGo, fostering a culture of experimentation and continuous improvement.

Identify and prioritise key business problems that can be solved through data science, translating them into actionable projects.

Model Development & Deployment:

Design, develop, validate, and deploy robust machine learning models for critical business functions, including but not limited to:

Credit Risk Assessment: Building sophisticated credit scoring models for matatu operators and drivers based on traditional and alternative data sources (e.g., M-Pesa transactions, driving behaviour, operational history).

Predictive Maintenance: Forecasting maintenance needs for electric vehicles to minimise downtime and optimise servicing schedules.

Route and Schedule Optimisation: Analysing passenger demand patterns and route characteristics to inform efficient bus scheduling, route planning, and resource allocation.

Fleet Optimisation: Analysing vehicle utilisation, route efficiency, and charging patterns to optimise fleet deployment and profitability.

Driver scoring: Building a driver scoring model that analyses driver behaviour based on driving efficiency, acceleration and braking behaviour, customer feedback, reported incidents, e.t.c

Demand Forecasting: Predicting demand for electric vehicle leases in various public transport routes.

Implement MLOps best practices for model versioning, deployment, monitoring, and retraining.

Industries:Renewables & Environment

Function: Data Science