Why work with us?
CIAL Dun & Bradstreet is the leading commercial data and counterparty decisioning solutions provider across 43 countries in Latin America and the Caribbean.

As the exclusive Latin American partner of the Dun & Bradstreet Worldwide Network, we serve 20,000+ customers with insights on 600M+ companies globally, combining the power of a world-class data network with deep local expertise built over decades in the region.

Our solutions help organizations make smarter faster decisions around credit risk, supply chain risk, compliance risk, to build stronger business relationships.

The role:
You will be responsible for leading and driving strategic data science projects focused on developing data-driven indicators to support business and product decisions. By applying predictive models and effective techniques, you’ll solve real business challenges in a fast-moving corporate setting.
You’ll be part of a dynamic, collaborative team that’s shaping how the organization makes impactful decisions.

What are we looking for:




- 3+ years of experience as a Data Scientist or Data Analyst.
- Proficient in Python (pandas, NumPy and scikit-learn libraries, advanced regular expressions, data pipelines), SQL (complex joins, stored procedures in T-SQL), and database management.
- Experience in data mining, forecasting, and building predictive and statistical models.
- Experience with Power BI or other data visualization tools.
- Familiarity with the commercial data risk ecosystem (credit and/or suppliers), ideally in a Latin American country.
- Knowledge of machine learning, business-applied artificial intelligence, and process automation.
- Education in engineering, mathematics, physics, computer science, or another quantitative field.

What will you do:
- Develop data-driven insights and indicators to improve product and business decisions, such as customer forecasts, contract renewals, goal achievement likelihood, and product success probability.
- Discover and leve

📌 Data Scientist (México)
🏢 Cial Dun & Bradstreet
📍 México