Senior Data Scientist

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kueski

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💳 Fintech

💸 Finance

👥 B2C

💰 $23.3M Venture Round - Kueski on 2022-10

Fintech • Finance • B2C

Kueski is a Mexico-based digital financial services company and fintech that provides online, unsecured personal loans and microcredits, plus a buy-now-pay-later payment product called Kueski Pay. It serves consumers through a mobile app and website with fast, automated loan decisions (including products that don’t require a credit bureau record), and also offers merchant integrations to enable installment payments. Kueski emphasizes 100% online processes, data encryption, regulatory compliance with Mexican authorities (CONDUSEF/CNBV), customer support, and financial-education resources.

📋 Description

• Build and improve Kueski’s lending and payments products through machine learning and data analytics • Partner with Product, Engineering, Risk, and Business teams • Own production ML models end-to-end, including monitoring performance, analyzing user and model behavior, and addressing anomalies or underperformance • Leverage AI-enabled tools and emerging AI capabilities to accelerate analysis, experimentation, and model development • Identify opportunities to improve products and business outcomes • Develop model experiments and features • Contribute to reliable, well-documented production ML pipelines • Provide Data Science expertise throughout the product development lifecycle • Define engineering requirements that impact ML solutions • Design and deliver high-impact product enhancements autonomously across teams • Mentor team members and promote technical excellence through pairing and code reviews • Support technical recruiting when needed • Collaborate with Machine Learning and Software Engineers to strengthen testing and quality processes for production models • Report to the Manager of Data Science

🎯 Requirements

• Quantitative background such as Engineering, Physics, Mathematics, or equivalent practical experience • Hands-on experience using AI-powered tools and emerging AI technologies to improve Data Science workflows, experimentation, analysis, or product solutions • Strong analytical and communication skills, with the ability to explain complex topics to technical and non-technical audiences • Advanced understanding of machine learning and hands-on experience applying ML in academic or industry settings • Proven ability to solve business problems with cross-functional teams and influence stakeholders constructively • Demonstrated autonomy delivering high-impact Data Science projects, contributing to team performance, and mentoring junior team members • Strong Python and ML libraries experience, solid SQL proficiency, and comfort working in Unix-like environments • Ability to quickly learn and adopt new technologies and methodologies • Fluency in English and the ability to communicate clearly with non-technical audiences • Experience detecting organized or coordinated fraud using graph analytics, network science, or device fingerprinting/behavioral biometrics • Experience designing or improving hybrid rule-based + ML systems for real-time decisioning • Familiarity with AML and KYC regulatory frameworks • Background in Risk, Economics, or Pricing • Experience 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

• Diversity, equity, and inclusion commitment • Reasonable accommodations during the hiring process