Data Scientist - Credit Policy

Description

**Who We Are:** A Mexican-owned business group founded in Culiacán, Sinaloa. In 2021, it celebrated 80 years of improving the lives of millions of Mexicans. It operates in all states across the country, employs 113,000 people, and ranks among the top 10 employers in the United Mexican States. It comprises three business units: Coppel Stores, Afore Coppel, and BanCoppel. "At Grupo Coppel, we are a community where human dignity prevails over any other condition; therefore, we support inclusion, diversity, and equal opportunity without distinction based on race, place of origin, religion, beliefs, age, appearance, sexual orientation, gender identity, disability, etc." **Position Objective:** Design and implement analytical solutions through advanced data analysis and machine learning models to generate actionable insights that support strategic decisions and optimize key business processes. **Responsibilities:** * Develop predictive models to solve specific business problems. * Analyze and transform data to generate valuable insights that support strategic decisions. * Collaborate with business teams to understand needs and translate them into data-driven solutions. * Communicate results clearly and understandably to non-technical audiences. * Automate analytical processes and optimize workflows to improve efficiency. * Contribute to organizational-level decision-making through practical and effective data analysis. * Mentor data specialist profiles, promoting best practices in analysis and modeling. **Required Education:** Bachelor’s Degree in Computer Science Bachelor’s Degree in Actuarial Science Bachelor’s Degree in Computer Systems Bachelor’s Degree in Mathematics Industrial Engineering **Requirements:** Knowledge of credit policies. Knowledge of portfolio segmentation processes. 2 years of experience applying data analysis in real-world business contexts (sales, marketing, operations, etc.). Participation in outcome-oriented analytical projects with demonstrable impact on processes or decisions. Experience working with databases and basic or intermediate SQL queries. Direct interaction with non-technical areas to understand business needs and translate them into data solutions. Practical knowledge of automation tools or low-code/no-code analytics platforms. **Language:** Intermediate English **Benefits:** Base salary Savings fund 25% discount on furniture and clothing purchases Year-end bonus Vacation days Vacation premium Profit-sharing Birthday day off Scholarships for studies School supplies Family protection club Pleasant work environment And other benefits and perks Benefits: * Study support * Discounts and preferential pricing * Option for an indefinite-term contract * Life insurance Workplace: On-site employment