---
title: 'Senior Data Scientist at Kueski'
canonical: 'https://feeny.ai/job/senior-data-scientist-kueski-guadalajara-jalisco-v5esgq430zj4'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Data Scientist at Kueski

- **Company:** Kueski
- **Location:** Guadalajara Jalisco, Mexico
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/kueski/37ae63fd-6bb8-4731-9af6-a266dc3f51cf

## Job description

## About Kueski

At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico. We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions. In 2024, we were named one of the World’s Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY.

Position Kueski is seeking a Senior Data Scientist based in Guadalajara to develop and improve machine learning solutions that directly shape our products and customer experiences. This role is ideal for an analytical and pragmatic Data Scientist with strong quantitative foundations who is passionate about applying machine learning to product development and solving meaningful business problems. You will combine machine learning, deep-dive analytics, experimentation, and strong business understanding to develop and improve our products. You will own machine learning models throughout their lifecycle, from experimentation and feature engineering to production monitoring and continuous improvement, while contributing to structured and reliable ML pipelines using modern open-source technologies and cloud-based tools. Reporting to the Manager of Data Science, you will work autonomously with cross-functional teams, provide technical input throughout the product development lifecycle, and help raise the technical capabilities and performance of the broader team.

## Key Responsibilities

- Build and improve Kueski’s products through machine learning and data analytics, partnering with Product, Engineering, Risk, and Business teams
- Own production ML models end-to-end, 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, while identifying opportunities to improve products and business outcomes
- Develop model experiments and features, and contribute to reliable, well-documented production ML pipelines
- Provide Data Science expertise throughout the product development lifecycle, including defining requirements for engineering work that impacts ML solutions
- Work autonomously across teams to design and deliver high-impact product enhancements
- Mentor team members, promote technical excellence through pairing and code reviews, and support technical recruiting when needed
- Collaborate with Machine Learning and Software Engineers to strengthen testing and quality processes for production models

## Experience

- 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
- Based in Guadalajara, Mexico

## Nice to have

- 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 (e.g. transaction authorization, origination scoring).
- Familiarity with relevant fintech regulatory frameworks (AML, KYC) and their intersection with fraud detection models.
- Background in Risk, Economics, or Pricing, with the ability to apply this knowledge to credit or customer behavior decisions.
- Experience with AWS machine learning services
- Experience applying causal inference techniques, such as uplift modeling or treatment effect estimation, particularly in offering and optimization use cases
- Background in Economics, Econometrics, Finance, or financial modeling, with the ability to apply this knowledge to credit, pricing, and customer behavior decisions

Diversity & Inclusion At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.

## About Kueski

## Company Overview
- **One-liner**: Kueski is a Mexican fintech that provides instant personal loans and a buy now, pay later (BNPL) platform, enabling consumers to access credit without a traditional credit card.
- **Entity Type**: Private (Venture Capital-backed, Later Stage VC)
- **Headquarters**: Guadalajara, Jalisco, Mexico
- **Founded**: 2012
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Fintech / Specialized Finance (Consumer Lending, BNPL)
- **Target customers**: B2C (Mexican consumers seeking personal loans or installment payments) and B2B (merchants integrating Kueski Pay as a payment method)
- **Mission/purpose**: “We facilitate the financial lives of people in Mexico” – providing secure, 100% online credit options without requiring a traditional credit history or collateral.

## Products & Services
- **[Personal Loans (formerly Kueski Cash)]**: Unsecured, short-term loans from $200 to $26,000 MXN, disbursed directly to the borrower’s bank account. 100% online, no guarantor, and no credit history required. Users choose repayment terms and can pay early for lower interest.
- **[Kueski Pay]**: A “buy now, pay later” (BNPL) solution that allows consumers to purchase online or in-store and pay in biweekly installments without a credit card. Merchants integrate Kueski Pay to increase sales and reach new customers.

## Market Standing
- **Valuation**: Not disclosed (private company)
- **Key Metrics**:
  - **Total Funding**: $264M per PitchBook (as of May 2026); $323.3M per LinkedIn (conflicting reports)
  - **Loans Disbursed**: Over 40 million
  - **Recurring Users**: 90% of users are repeat customers
  - **Merchant Reach**: Present in 25% of the top 150 businesses in Latin America
  - **Employees**: 633 (PitchBook) vs 469 (LinkedIn) – conflicting reports
- **Notable Investors/Partners**: 37 institutional investors (PitchBook). Key investors include venture capital firms (names not disclosed in available data). Partners include major retail brands across Mexico.
- **Growth Signals**: 
  - Raised a Later Stage VC round in May 2026 (deal completed)
  - Appointed former Stripe executive Fausto Ibarra as Chief Product Officer
  - Recognized as one of the 250 most promising fintech companies by CB Insights (2022)
  - Received the “Hecho en México” distinction from the Mexican Ministry of Economy (2025)
  - Consistently awarded “Most Ethical Company in Mexico” (2022–2025) and “Top 5 Best Companies for Female Talent” (2023–2025)

## Competitive Advantages
- **Data-driven credit scoring**: Uses machine learning models on thousands of data points to assess credit risk and fraud, enabling approval for users with no traditional credit history.
- **Regulatory trust**: Registered with CONDUSEF (SIPRES) and supervised by CNBV – a first for a fully digital SOFOM E.N.R. in Mexico.
- **High customer satisfaction**: 94% of users would recommend Kueski; 87% say it improved their credit history; 84% trust it more than other financial institutions.
- **Omnichannel BNPL**: Works both online and in physical stores, differentiating from pure e-commerce BNPL players.

## Strategic Focus
- **Deepening Mexican market penetration**: Expanding personal loan amounts (up to $26,000) and growing the Kueski Pay merchant network.
- **Product innovation**: Enhancing the mobile app experience, adding more flexible payment options, and leveraging AI for faster underwriting.
- **Talent and culture**: Attracting top tech talent across the Americas with a distributed, remote-first model and a strong emphasis on diversity and inclusion.

## Why Work Here
- **Work model**: Remote/hybrid – “distributed” across the Americas, with specifics depending on role and team.
- **Culture highlights**: 
  - “Crece. Impacta. Pertenece.” (Grow. Impact. Belong.)
  - Recognized as a top employer: #2 Best Company for Young Professionals (EFY, 2022), Top 5 for Female Talent (2023–2025), and maximum score in HRC Equidad MX index (2026).
  - Values curiosity, collaboration, and user-centric problem-solving.
- **Benefits**: Focus on health, well-being, and future; career development and learning opportunities.
- **Perks**: Not explicitly detailed, but emphasis on autonomy, growth, and mission-driven work.

## Sources
1. [kueski.com/about-us](https://kueski.com/about-us)
2. [kueski.com/?lang=en](https://www.kueski.com/?lang=en)
3. [kueski.com/unete-al-equipo](https://www.kueski.com/unete-al-equipo)
4. [pitchbook.com/profiles/company/91503-46](https://pitchbook.com/profiles/company/91503-46)
5. [linkedin.com/company/kueski](https://www.linkedin.com/company/kueski)

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