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1,939

Python jobs in Mexico

Data Scientist - Risk (Cientista de Dados - Risco) - São Paulo (Hybrid)

Clara

Ciudad de México
Hybrid
MXN 1,260,000 - 1,621,000
30+ days ago
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Sr. ML Ops Engineer

NTT DATA, Inc.

Ciudad de México
On-site
MXN 1,260,000 - 1,621,000
30+ days ago

Sr Data Scientist

The Hershey Company

Región Centro
On-site
MXN 400,000 - 600,000
30+ days ago

Data Scientist - Latin America - Remote

Azumo

Xico
Remote
MXN 1,620,000 - 2,161,000
30+ days ago

Cloud Architect (GCP) Remote

NTT DATA, Inc.

Mexico
Remote
MXN 960,000 - 1,200,000
30+ days ago
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AI Solutions Engineer, CoCounsel Innovation & Customer Delivery

PowerToFly

Ciudad de México
Hybrid
MXN 1,440,000 - 1,801,000
30+ days ago

Senior Murex Integration Specialist

Luxoft

Ciudad de México
Hybrid
MXN 900,000 - 1,261,000
30+ days ago

Senior Software Engineer

Web.com

Monterrey
On-site
MXN 719,000 - 1,080,000
30+ days ago
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Tech Center - Technical Consultant

Hewlett Packard Enterprise

Ciudad de México
Hybrid
MXN 400,000 - 600,000
30+ days ago

Tech Center - Technical Consultant

Hewlett Packard Enterprise

Región Centro
Hybrid
MXN 1,085,000 - 1,447,000
30+ days ago

Marketplace Senior Analyst

Didi

Ciudad de México
Hybrid
MXN 200,000 - 400,000
30+ days ago

Test Engineer (Temporal 4 meses)

Grupo TECMA

Ciudad Juárez
On-site
MXN 400,000 - 600,000
30+ days ago

Forward Deployed Engineer - Mexico

Happyrobot

Mexico
On-site
MXN 1,276,000 - 1,642,000
30+ days ago

Data Management Manager

HSBC

Ciudad de México
On-site
MXN 1,455,000 - 2,184,000
30+ days ago

Sr. Manager Software Engineering IC

Capital One

Ciudad de México
On-site
MXN 950,000 - 1,200,000
30+ days ago

AI Engineer

Kavak

Ciudad de México
On-site
MXN 400,000 - 600,000
30+ days ago

Senior AI/Cloud Engineer

Ll Oefentherapie

Región Centro
On-site
MXN 600,000 - 900,000
30+ days ago

Driver Growth Operations Sr Analyst

Didi

Ciudad de México
On-site
MXN 60,000 - 90,000
30+ days ago

Network Administrator & IT Systems

Limelight Health

Ciudad de México
On-site
MXN 200,000 - 400,000
30+ days ago

Data Scientist (Marketing Analytics)

Novacard

Ciudad de México
On-site
Confidential
30+ days ago

Linux System Administrator | Monitoring | Based in Brazil

Hostinger

Santa Catarina
On-site
MXN 400,000 - 600,000
30+ days ago

Data Analyst - level IV

Confiz

Monterrey
On-site
MXN 1,282,000 - 1,649,000
30+ days ago

Infra/DevOps Engineer (Metal-as-a-Service Expert, LATAM)

Blackfluo.ai

Ciudad de México
Remote
MXN 400,000 - 600,000
30+ days ago

Desarrollador Python/Django Senior Bilingüe - 100% Remoto

The Brick

Ciudad de México
Remote
MXN 400,000 - 600,000
30+ days ago

Senior Software Engineer (GenAI/ML)

Factored

Ciudad de México
On-site
MXN 1,465,000 - 2,199,000
30+ days ago

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Data Scientist - Risk
Clara
Ciudad de México
Hybrid
MXN 1,260,000 - 1,621,000
Full time
30+ days ago

Job summary

A leading fintech company in Mexico City is looking for a Data Scientist to join their Risk Data Science team. You will analyze complex datasets to drive business decisions in credit risk and fraud prevention. The ideal candidate should have over 5 years in data science, with strong skills in Python, SQL, and cloud platforms like AWS. This role offers a dynamic and supportive environment with opportunities for growth and impact, alongside a passionate team committed to innovation in B2B finance.

Benefits

Competitive salary and stock options
Multicultural team
Annual learning budget
Flexible vacation

Qualifications

  • 5+ years of experience in data science or analytics.
  • 2+ years developing risk models.
  • Experience with cloud-based platforms.

Responsibilities

  • Analyze complex datasets for credit risk and fraud prevention.
  • Collaborate on data-driven strategies.
  • Construct and deploy predictive models.

Skills

Data analysis
Problem-solving
Technical proficiency in Python
Technical proficiency in SQL
Cloud platforms experience
Experience with machine learning
Communication skills

Education

Degree in Data Science or related field

Tools

Databricks
AWS
MLflow
scikit-learn
PyTorch
Job description

Latin America

Ready to accelerate your career?

Clara is the fastest-growing company in Latin America. We’ve built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high‑performing organizations across the region. We invite you to join us if you want to be part of a fast‑paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

What you’ll do

We’re looking for a Data Scientist to join our Risk Data Science team. In this role, you will be instrumental in analyzing complex datasets to generate insights that drive critical business decisions, specifically within credit risk, fraud prevention, and churn reduction. You will work cross‑functionally to design, build, and deploy data‑driven strategies that ensure Clara continues to scale securely and efficiently.

  • Define and solve complex problems: Collaborate with cross‑functional teams to identify business challenges, propose end‑to‑end solutions, and execute strategies that align with company objectives.
  • Drive data understanding and insights: Explore and interpret large datasets using SQL and Python to identify patterns, anomalies, and trends. Translate findings into actionable insights that support informed decision‑making.
  • Build and deploy predictive models: Design, develop, and monitor machine learning models using Databricks, MLflow, scikit‑learn, and PyTorch. Follow the CRISP‑DM methodology to ensure rigorous modeling standards from conception to production.
  • Ensure data quality and integrity: Clean and transform raw data to ensure it is suitable for analysis, apply data quality checks, and maintain validation rules.
  • Innovate and automate: Continuously monitor model performance and data drift while staying updated on advancements in AWS cloud infrastructure and statistical methods to refine our analytical approaches.
Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.

  • Must haves
  • 5+ years of experience in data science or analytics, with a minimum of 2 years of hands‑on experience developing risk models (e.g., credit, fraud, or churn).
  • Strong technical proficiency in Python and SQL for data manipulation, querying, and statistical analysis.
  • Proven experience working with cloud‑based platforms, specifically AWS and Databricks.
  • Hands‑on experience with ML platforms and libraries such as MLflow, scikit‑learn, and PyTorch.
  • Working proficiency in English and Spanish.
  • Strong problem‑solving abilities with the capacity to communicate complex modeling processes to‑technical stakeholders.
  • A degree in Data Science, Computer Science, Mathematics, Statistics, or equivalent practical experience.
  • Adaptability to fast‑changing, high‑growth environments.
  • Nice to haves
  • Experience with data visualization tools such as Metabase.
  • Solid understanding of data engineering concepts and ETL processes.
  • Experience taking data workflows or models from development to production.
  • Master’s degree in Data Science or a related field.
  • Basic proficiency in Spanish (or a desire to learn it).
Why join Clara

At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who we are

We’re the leading B2B fintech for spend management in Latin America.

Certified as one of the world's fastest‑growing companies, a Great Place to Work, and a LinkedIn Top Startup.

Passionate about making Latin America more prosperous and competitive.

Constantly innovating to build financial infrastructure that enables each of our customers to thrive.

Product‑led, high‑talent‑density culture — designed for builders who raise the bar.

Proud of our open, inclusive, and values‑driven environment.

What we believe in

#Clarity. We say things clearly, directly, and proactively.

#Simplicity. We reduce noise to focus on what really matters.

#Ownership. We take responsibility and never wait to be told.

#Pride. We build products and experiences we’re proud of.

#Always Be Changing (ABC). We grow through feedback, risk‑taking, and action.

#Inclusivity. Every voice counts. Everyone contributes to our mission.

What we offer
  • Competitive salary and stock options (ESOP) from day one
  • Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
  • Annual learning budget and internal accelerated development paths
  • High‑ownership environment: we move fast, learn fast, and raise the bar — together
  • Smart, ambitious teammates — low ego, high impact
  • Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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