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4,031

Python jobs in Mexico

Senior Business Intelligence Analyst

DiDi Global

Ciudad de México
On-site
MXN 600,000 - 800,000
30+ days ago
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Senior BI Analyst - Hybrid, Strategy-Driven Insights

DiDi Global

Ciudad de México
On-site
MXN 600,000 - 800,000
30+ days ago

Consultor Sr. Fullstack

Ernst & Young Advisory Services Sdn Bhd

Ciudad de México
On-site
MXN 50,000 - 200,000
30+ days ago

Senior Fullstack Developer - Python/Django & APIs

Ernst & Young Advisory Services Sdn Bhd

Ciudad de México
On-site
MXN 50,000 - 200,000
30+ days ago

Data Analyst

Rappi

Ciudad de México
On-site
MXN 700,000 - 900,000
30+ days ago
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Senior Cloud Platform Engineer - AWS, K8s & Terraform

Conde Nast

Xico
On-site
MXN 1,640,000 - 2,187,000
30+ days ago

Senior Power Apps / Automation Developer - Academy

Talan

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

Remote Lead Full-Stack Engineer & Shopify API Expert

Onda

Xico
On-site
MXN 1,457,000 - 2,187,000
30+ days ago
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WhereTo Senior Back End Engineer Remote, Mexico

Flight Centre Careers

Ciudad de México
Remote
MXN 60,000 - 80,000
30+ days ago

Technical Lead Manager - Scale

Aplazo, S.A. De C.V. Apl200511Rl7

Xico
On-site
MXN 80,000 - 100,000
30+ days ago

Senior Manager Of Data Engineering

Kueski

Xico
On-site
MXN 120,000 - 160,000
30+ days ago

Remote Finance Data Analyst - Dashboards & Revenue Insights

TripleTen

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

Cloud Support Engineer Ii - Analytics, Support

Amazon Web Services Mexico S. De R.L. De C.V.

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

Solutions Engineer (Software Dev & Systems Integration).

Copeland

Ciudad de México
Hybrid
MXN 50,000 - 70,000
30+ days ago

Site Reliability Engineer With Docker, Aws, Ec2

Ampstek

Xico
Remote
MXN 1,822,000 - 2,370,000
30+ days ago

Senior Cybersecurity Architect & Incident Response Lead

Honeywell International, Inc.

Ciudad de México
Hybrid
MXN 1,093,000 - 1,531,000
30+ days ago

Advanced Cyber Sec Archt

Honeywell International, Inc.

Ciudad de México
Hybrid
MXN 1,093,000 - 1,531,000
30+ days ago

Index Manager Multi Asset Indices

Osttra

Xico
On-site
MXN 911,000 - 1,276,000
30+ days ago

Index Manager - Multi-Asset Indices (Real-Time & Rebalance)

Osttra

Xico
On-site
MXN 911,000 - 1,276,000
30+ days ago

Senior Business Analyst

Bluelight Consulting

Puebla de Zaragoza
Remote
MXN 911,000 - 1,276,000
30+ days ago

Lead Java Backend Engineer — Scale Microservices

Agileengine

Puebla de Zaragoza
On-site
MXN 400,000 - 600,000
30+ days ago

ESPECIALISTA TRANSACCIONAL (SOLUCIONES EQUITY)

GRUPO FINANCIERO ACTINVER

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

Senior Backend Engineer

Feverup

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

Analytics Engineer: ELT, Dashboards & AI (Remote)

Getdarwin

Xico
Hybrid
MXN 728,000 - 1,094,000
30+ days ago

Data Analyst

Getdarwin

Xico
Hybrid
MXN 728,000 - 1,094,000
30+ days ago

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Senior Business Intelligence Analyst
DiDi Global
Ciudad de México
On-site
MXN 600,000 - 800,000
Full time
30+ days ago

Job summary

A leading mobility technology platform seeks a Senior Data Scientist in Mexico City to drive strategic insights using advanced data analysis and modeling. Ideal candidates will be proficient in SQL and either Python or R, with experience in data storytelling and visualization tools like Tableau or Power BI. You will design predictive models and deliver actionable recommendations to optimize operations. Join an inclusive environment focused on collaboration and continuous improvement.

Qualifications

  • 3+ years of experience in data science and data analysis roles.
  • Advanced English proficiency (written and spoken) is mandatory.
  • Hands-on experience with BI tools such as Tableau or Power BI.

Responsibilities

  • Conduct deep exploratory and descriptive analyses to uncover patterns.
  • Design and refine predictive models to anticipate business trends.
  • Translate complex model outputs into clear narratives using BI tools.

Skills

Predictive modeling
Data visualization
Statistical analysis
SQL proficiency
Python or R
Communication skills
Agile methodologies

Education

Bachelor's degree in Mathematics, Statistics, Actuarial Science, or Data Science

Tools

Tableau
Power BI
Git
Job description
Company Overview

DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.

DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world’s transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.

For more information, please visit: www.didiglobal.com/news

#LI-Hybrid

Team Overview
Team Overview

Driven by passion and precision, our team is the engine behind the organization's data-informed culture. We empower decision-makers by delivering transformative insights through a methodic Agile process. By combining rigorous descriptive analysis with advanced analytics, we drive impactful change and strategic growth across the business. As a Senior Data Scientist, you will serve as a data expert, bridging the gap between raw data, advanced modeling, and strategic execution to solve complex business challenges.

Role Responsibilities
  • Insight Generation & Strategy: Conduct deep exploratory and descriptive analyses to uncover patterns, trends, and root causes. You will validate hypotheses and deliver actionable recommendations that align directly with OKRs and Operations strategies.
  • Advanced Modeling, Forecasting & Segmentation: Design, develop, and refine predictive models (Logistic Regression, Decision Trees, Random Forest, XGBoost), robust forecasting solutions (ARIMA, SARIMA, Prophet, LSTM) to anticipate business trends and user behavior and Cluster Analysis (k-means, PCA) to segment user bases.
  • Experimental Design: Design and analyze A/B/n tests and hypothesis tests to measure the true impact of product and operational changes.
  • Data Storytelling & Visualization: Translate complex model outputs and analytical findings into clear, compelling narratives for stakeholders using BI tools (Tableau, Power BI).
  • Operational Excellence: Champion a culture of documentation and reproducibility using Git. actively participate in Agile ceremonies and collaborate with cross-functional teams to operationalize insights.
Role Qualifications
  • Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Data Science, or a related quantitative field.
  • 3+ years of experience in data science and data analysis roles.
  • Advanced English proficiency (written and spoken) is mandatory.
  • Advanced SQL proficiency (complex querying, optimization, data manipulation).
  • Intermediate proficiency in Python or R for statistical modeling and data processing.
  • Hands-on experience with BI tools such as Tableau, Power BI, or similar.
  • Ability to manage code and documentation using Git.
  • Advanced Analytics: Solid theoretical and practical knowledge of predictive modeling, regression analysis, and statistical testing.
  • Business Acumen: A strong analytical mindset with the ability to connect data management decisions to tangible business outcomes and strategic impact.
  • Communication: Excellent stakeholder management and storytelling skills; ability to bridge the gap between technical and non-technical audiences.
  • Research & Growth: A proactive approach to learning (self-taught skills) and a mindset of continuous improvement, always seeking to optimize how data is managed, shared, and trusted across DiDi.
  • Adaptability: Comfort navigating fast-paced, evolving priorities in a global, cross-functional environment.
EEO Statement
  • We create customer value – We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient.
  • We are data-driven – We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.
  • We believe in Win-win Collaboration – Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.
  • We believe in integrity – Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.
  • We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.
  • We believe in Diversity and Inclusion – Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.

We are committed to building inclusive and diverse teams.

At DiDi, we believe that our differences are our biggest source of strength. That‘s why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms

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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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