Data Scientist - Credit Policy

Description

Job Summary: Designs and implements advanced analytical solutions using data and machine learning to support strategic decision-making and optimize business processes. Key Highlights: 1. Development of predictive models to solve business problems. 2. Collaboration with teams to translate business needs into data-driven solutions. 3. Mentoring data specialists and promoting best practices. **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 of Mexico, employs 113,000 people, and ranks among the top 10 employers in the Mexican Republic. Its three business units are: 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." **Job Objective:** To design and implement analytical solutions through advanced data analysis and machine learning models, generating actionable insights that support strategic decision-making and optimize key business processes. **Responsibilities:** * Develop predictive models to solve specific business problems. * Analyze and transform data to generate valuable insights supporting strategic decisions. * Collaborate with business teams to understand requirements 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 demonstrated impact on processes or decisions. Experience working with databases and basic or intermediate SQL queries. Direct interaction with non-technical departments 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 education School supplies Family protection club Pleasant work environment And other benefits and perks Benefits: * Educational support * Discounts and preferential pricing * Option for indefinite-term contract * Life insurance Work Location: On-site employment