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1,939

Python jobs in Mexico

Data Scientist - MX

Within

Ciudad de México
On-site
MXN 400,000 - 600,000
30+ days ago
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Senior Lead Software Engineer — Full-Stack & Cloud

Capital One

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

Remote Technical Support Engineer — DevTools

The Global Talent Co.

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

Technical Support Engineer

The Global Talent Co.

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

Senior Data Engineer: Data Pipelines & Analytics

Takeda Pharmaceuticals

Ciudad de México
On-site
MXN 400,000 - 600,000
30+ days ago
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Senior Data Scientist: Scalable Pipelines & ML (Remote)

S&P Global

Ciudad de México
Remote
MXN 1,273,000 - 1,638,000
30+ days ago

Associate Index Calculation and Distribution Specialist

S&P Global

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

Advanced Manufacturing Engineer - GSA

Vertiv

Monterrey
On-site
MXN 1,455,000 - 1,820,000
30+ days ago
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DevOps Software Developer

Oracle

Región Centro
On-site
MXN 1,091,000 - 1,456,000
30+ days ago

Data Scientist III

S&P Global

Ciudad de México
On-site
MXN 1,273,000 - 1,638,000
30+ days ago

Senior Linux Systems Engineer - Production & Automation

Oracle

Región Centro
On-site
MXN 200,000 - 400,000
30+ days ago

Senior GenAI Engineer — Omnichannel AI, Remote

Kavak

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

Senior Business Analyst IC5 — Hybrid, Equity & Growth

Nubank

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

Data Engineer/Scientist

Trimble Inc.

Mexicali
On-site
MXN 1,094,000 - 1,460,000
30+ days ago

SECDevOps - Security Analyst

Amdocs

Región Centro
Hybrid
MXN 1,277,000 - 1,643,000
30+ days ago

Ingeniero de Pruebas | Automatización y QA Electrónica

Grupo TECMA

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

Senior AI & Cloud Engineer — LLMs, K8s & OCI GenAI

Oracle

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

GenAI Backend Engineer: Build LLM‑Driven APIs

Kavak

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

Senior AI Engineer (GenAI)

Kavak

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

Senior Business Analyst

Nubank

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

Cloud Platform Engineer II

McDonald's Corporation

Ciudad de México
On-site
MXN 821,000 - 1,186,000
30+ days ago

Ingeniero de Prueba

Grupo TECMA

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

Acquisition Manager

Didi

Ciudad de México
Hybrid
MXN 800,000 - 1,200,000
30+ days ago

Full Stack Engineer: Build Impactful FinTech Solutions

HSBC

Ciudad de México
On-site
MXN 600,000 - 900,000
30+ days ago

LatAm Survey Project Coordinator: Data Quality & Partnerships

Gallup

Ciudad de México
On-site
MXN 500,000 - 700,000
30+ days ago

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Data Scientist
Within
Ciudad de México
On-site
MXN 400,000 - 600,000
Full time
30+ days ago

Job summary

A technology and marketing solutions company is seeking a versatile Data Scientist in Mexico City. The ideal candidate will have 3-5 years of experience, a strong marketing background, and proficiency in Python, SQL, and R. Responsibilities include developing data models, conducting statistical experiments, and collaborating with teams to drive growth for various brands. This role requires excellent communication skills and an adaptable mindset in a fast-paced environment. This is a fully in-office position with various benefits.

Benefits

Unlimited vacation policy
Health insurance coverage
Food stipend
Internet/phone stipend
Dog‑friendly office
Professional Development Program

Qualifications

  • 3‑5 years as a Data Scientist, preferably in marketing applications.
  • Strong background in Bayesian statistics and mathematics.
  • Proficient in Python, SQL, and R.

Responsibilities

  • Develop and test new data science models for marketing applications.
  • Run statistical experiments to optimize performance.
  • Collaborate with cross-functional teams to integrate data insights.

Skills

Bayesian statistics
Python
SQL
R
Optimization methods
Cloud platforms (GCP, AWS, Azure)
Job description

About the Role: We are looking for a versatile Data Scientist with a strong marketing background to join our dynamic team. As part of WITHIN, you will work on innovative end-to-end data solutions that drive growth for iconic brands. The role is perfect for someone who thinks critically about complex data problems, builds and tests interpretable models, and turns ideas into actionable solutions. You will solve business challenges, design data pipelines, and apply statistical methods to real-world problems.

Responsibilities
  • Develop and test new data science models, including Marketing Mix Modeling, time series forecasting, and advanced regression models, ensuring interpretability.
  • Run statistical experiments to measure and optimize performance, uncovering key insights from large datasets.
  • Implement and refine data models that align with client objectives and data engineering workflows, offering scalable solutions.
  • Collaborate with cross-functional teams—media, creative, and lifecycle marketing—to integrate data-driven insights into performance branding strategies.
  • Communicate complex findings effectively, in written and spoken formats, to clients and internal stakeholders.
Requirements
  • 3‑5 years as a Data Scientist, preferably in marketing applications.
  • Strong Bayesian statistics and mathematics background; ability to understand complex algorithms and their business impact.
  • Proficiency in Python, SQL, and R.
  • Experience with optimization methods.
  • Experience on Google Cloud Platform (GCP) or another cloud platform (AWS, Azure).
  • Deep understanding of standard data science algorithms.
  • (Optional) Experience with Terraform, microservices, and cloud infrastructure automation.
  • Excellent written and verbal communication skills.
  • Problem‑solving mindset with adaptability in fast‑paced environments.
Interview Process
  • Excel and Typing Test
Benefits
  • Base salary DOE
  • Unlimited vacation policy
  • Health insurance coverage
  • Food stipend
  • Internet/phone stipend
  • Dog‑friendly office
  • Professional Development Program
  • This is a fully in‑office role based in Mexico City, Mexico. Candidates must be available to work on‑site five days a week.
Location

Mexico City, Mexico. The role is fully in‑office.

Equal Employment Opportunity

As set forth in WITHIN’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress toward this goal. This is a voluntary form; completing it is confidential. No one who makes hiring decisions will see it.

Voluntary Self‑Identification of Disability

Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way.

Voluntary Self‑Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

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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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