Senior Data Scientist - Fraud & ML Innovation

Kueski; Mexico; On-site; PHP 3,285,000 - 4,745,000; Full time

Job summary

Kueski, a leading BNPL and online consumer credit platform in Latin America, is seeking a Senior Data Scientist in Mexico to develop and refine machine learning solutions for fraud detection and prevention. You will own models across their lifecycle, from experimentation to production monitoring, partnering with Product, Engineering, Risk, and Business teams.

You will apply ML, analytics, and experimentation to product development, building reliable pipelines and collaborating with ML and

Qualifications

• Quantitative background or equivalent practical experience in engineering, physics, mathematics, or related fields.
• Hands-on experience applying ML to products or fraud detection.
• Strong analytical and communication skills for technical and non-technical audiences.
• Proven ability to work cross-functionally and mentor teammates.
• Experience with Python and ML libraries; SQL proficiency; Unix-like environments.

Responsibilities

• Build and improve ML-based products with cross-functional teams.
• Own production ML models end-to-end, monitor performance and address issues.
• Leverage AI tools to accelerate analysis, experiments, and modeling.
• Develop experiments and features; contribute to reliable production pipelines.
• Collaborate with engineers to strengthen testing and quality of production models.
• Mentor team members and support technical recruiting when needed.

Skills

Python

SQL

Machine Learning

Data Visualization

Communication

Cloud/AWS

English fluency

Unix/Linux

Tools

Pandas

NumPy

scikit-learn

TensorFlow

Job description

Kueski, a leading BNPL and online consumer credit platform in Latin America, is seeking a Senior Data Scientist in Mexico to develop and refine machine learning solutions for fraud detection and prevention. You will own models across their lifecycle, from experimentation to production monitoring, partnering with Product, Engineering, Risk, and Business teams.

You will apply ML, analytics, and experimentation to product development, building reliable pipelines and collaborating with ML and