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Data Scientist

Talentsafari

Kenya Remote permanent

Posted: March 5, 2026

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Quick Summary

We are looking for a Data Scientist with strong programming skills and experience in machine learning to join our team.

Job Description

About the Company

Fixa is building the HR and financial infrastructure for Africa’s informal and blue-collar workforce. Our platform supports businesses in construction, manufacturing, agriculture, and other labor-intensive sectors with powerful tools for workforce management, payroll, payments, and financial services.

About the Role

We are looking for a Data Scientist who will be responsible for turning Fixa’s growing data assets into actionable insights, predictive models, and decision frameworks that power lending, risk management, growth, and operational efficiency.

Core Responsibilities

• Design the infrastructure to move, clean, and store data for analysis.

• Build and maintain models for credit risk, fraud detection, user behavior, and portfolio performance

• Data quality monitoring

• Partner with Product, Finance, Engineering and Compliance to embed data into decision-making

• Define and track core business, risk, and growth metrics

• Design experiments and analyses to improve unit economics and customer outcomes

• Ensure data quality, governance, and scalable analytics infrastructure

• Mentor junior analysts and help establish data best practices

Qualifications

• 5+ years of experience in data science, analytics and applied machine learning

• Strong background in fintech, lending, payments, or financial risk modeling preferred

• Experience working with large datasets and production-level data pipelines

• Ability to communicate insights clearly to technical and non-technical stakeholders

• Experience supporting scale-phase decision-making in high-growth environments

Success Indicators

• Reliable, explainable models that improve risk and profitability

• Clear dashboards and metrics actively used by leadership

• Faster, better-informed decisions across product and finance

• Strong data culture embedded in the organization

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