Data Scientist Sr

Didi; Ciudad de México; Presencial; MXN 529,000 - 883,000; Jornada completa

Descripción de la vacante

A leading mobility technology platform is seeking a Senior Data Scientist in Mexico City to conduct advanced data analyses and develop predictive models. The role demands strong SQL and programming skills, advanced English proficiency, and experience with BI tools like Tableau and Power BI. You will bridge raw data and strategic execution to solve complex business challenges in a fast-paced environment. The company values diversity and innovation while offering an inclusive workplace.

Formación

• 3+ years of experience in data science and data analysis roles.
• Hands-on experience with BI tools such as Tableau and Power BI.
• Proactive approach to learning and continuous improvement.

Responsabilidades

• Conduct exploratory and descriptive analyses to uncover patterns.
• Design and develop predictive models to anticipate business trends.
• Translate model outputs into clear narratives for stakeholders.

Conocimientos

Advanced English proficiency

SQL proficiency

Python or R proficiency

Data storytelling

Communication skills

Educación

Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Data Science, or related field

Herramientas

Tableau

Power BI

Git

Descripción del empleo

Data Scientist Sr

Job Locations: MX-MEX-Mexico City | MX-NLE-Monterrey

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

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