Senior Data Scientist

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Enhance and expand Kueski's lending and payments solutions using machine learning and data analytics.

• Collaborate with Product, Engineering, Risk, and Business teams.

• Take ownership of production ML models from start to finish, including performance monitoring, user and model behavior analysis, and addressing any anomalies or underperformance.

• Utilize AI-powered tools and emerging AI technologies to expedite analysis, experimentation, and model development.

• Discover opportunities to enhance products and improve business results.

• Create model experiments and features.

• Contribute to the development of reliable and well-documented production ML pipelines.

• Offer Data Science expertise throughout the product development lifecycle.

• Define engineering requirements that impact ML solutions.

• Design and implement high-impact product enhancements independently across teams.

• Guide team members and foster technical excellence through pairing and code reviews.

• Assist in technical recruiting when necessary.

• Work alongside Machine Learning and Software Engineers to enhance testing and quality processes for production models.

• Report directly to the Manager of Data Science.

⛳️ Requirements

• A quantitative background in fields such as Engineering, Physics, Mathematics, or equivalent practical experience.

• Practical experience with AI-powered tools and emerging AI technologies to enhance Data Science workflows, experimentation, analysis, or product solutions.

• Strong analytical and communication skills, capable of explaining complex subjects to both technical and non-technical audiences.

• Advanced knowledge of machine learning and hands-on experience applying ML in academic or industry contexts.

• Proven track record of solving business challenges with cross-functional teams and constructively influencing stakeholders.

• Demonstrated ability to autonomously deliver impactful Data Science projects, contribute to team performance, and mentor junior colleagues.

• Proficient in Python and ML libraries, solid understanding of SQL, and comfortable in Unix-like environments.

• Quick learner, able to adopt new technologies and methodologies swiftly.

• Fluent in English with clear communication skills for non-technical audiences.

• Experience in detecting organized or coordinated fraud using graph analytics, network science, or device fingerprinting/behavioral biometrics.

• Familiarity with designing or enhancing hybrid rule-based + ML systems for real-time decision-making.

• Understanding of AML and KYC regulatory frameworks.

• Background in Risk, Economics, or Pricing.

• Familiarity with AWS machine learning services.

• Experience applying causal inference techniques, such as uplift modeling or treatment effect estimation.

• Background in Economics, Econometrics, Finance, or financial modeling.

🏝️ Benefits

• Commitment to diversity, equity, and inclusion.

• Reasonable accommodations available during the hiring process.