Kueski
Senior Data Scientist
Remote role where the employee must remain based in a particular country.
Mexico only
Employer listed it 4 weeks ago · Added yesterday
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Mexico only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Mexico. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Guadalajara, Jalisco, Mexico, Remote"
- Job description states: "based in Guadalajara"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Kueski, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $145k to $210k per year · You'll be taken to the employer's careers page.