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 rol

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,
- Experience in large companies and complex business challenges is preferable.
- Strong communication skills and ability to collaborate in diverse teams.
- Proactive and autonomous in contributing to projects,



aligning data solutions with business goals.
- Proficiency in English language (written and spoken).

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 leverage valuable data sources, automate extraction, transformation, and loading (ETL) processes, and perform data quality analysis (completeness, profiling, etc.).
- Automate manual processes, especially business analysis and repetitive tasks like exception documentation and operational flows.
- Analyze large volumes of structured and unstructured data to uncover relevant patterns and trends.
- Integrate AI solutions into business processes, ensuring data security and cybersecurity compliance.
- Present insights and results through clear and effective visualizations (using Power BI or other tools).
- Lead data science projects from problem definition to implementation and results communication with both technical and non-technical teams.
- Collaborate with cross-functional teams using agile methodologies like Scrum.
- Document data use cases by detailing business problems, data needs, and expected outcomes.

What we offer:

- Positive and encouraging work environment.
- Dynamic company where you can grow as far as your vision and curiosity leads you.
- Competitive compensation and benefits package.
- Hybrid work scheme.

CIAL provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training.

📌 Data Scientist (Ciudad de México)
🏢 Cial Dun u0026 Bradstreet
📍 Ciudad de México