Data Scientist

Description

**Job Description:** \\We are seeking a highly motivated and experienced Mid-Level Data Scientist to work on credit recovery initiatives within a major financial institution. The ideal candidate will have a proven track record in building predictive models, strong analytical capabilities, and effective collaboration with business units. **Project:** \\The selected professional will operate within a strategic structure focused on credit recovery, supporting intelligence generation for decision-making. The role involves analyzing large volumes of data, building machine learning models, and developing strategies to optimize collections and recovery. **Project Scale:** \\The project encompasses business-critical initiatives aimed at improving operational efficiency and enhancing recovery performance. It operates in a high-volume data environment, drawing from multiple information sources and requiring tangible, practical impact. **Team Size:** \\The team comprises professionals from data, technology, and business domains, working in an integrated manner. The selected professional will collaborate closely with analysts, data engineers, and business stakeholders, enjoying significant visibility and active participation in decision-making. **Responsibilities:** \\Design, test, and enhance predictive models for credit recovery; \\Analyze large volumes of data to identify patterns and improvement opportunities; \\Generate actionable insights to optimize collection strategies; \\Engage with business units to understand requirements and translate them into analytical solutions; \\Monitor model and KPI performance, proposing continuous improvements; \\Collaborate with technology and data teams to ensure delivery quality and consistency; **Key Duties:** \\Develop machine learning models applied to risk and recovery; \\Perform exploratory data analysis and data preprocessing; \\Build data-driven segmentations and strategies; \\Ensure the quality and reliability of delivered analyses; \\Document developed processes and models; \\Support the evolution of databases and analytical infrastructure; Other Requirements and Qualifications, Tools, Skills, Courses, and Certifications: \\Experience with Python (pandas, numpy, scikit\-learn or similar); \\Strong SQL proficiency for handling large datasets; \\Experience in building and validating machine learning models; \\Background in credit recovery, collections, or risk management (a relevant advantage); \\Familiarity with BI tools such as Power BI, Tableau, or similar; \\Knowledge of agile methodologies (SCRUM, Kanban, etc.); \\Bonus: Experience in financial institutions or fintechs; \\Bonus: Experience deploying or monitoring models in production; \\Strong communication skills and ability to translate technical analyses for business audiences; **MJV Benefits:** TotalPass\\Wellhub; ‍‍‍‍ Group life insurance; Meal voucher / Food allowance; Health and dental plan \- Bradesco; Training initiatives: lectures, forums, knowledge-sharing sessions, and discussions related to our business. We maintain constant connection to learn more—together; \+MJVer Program: an internal referral program where you refer a colleague to join us, and if the match is successful, you receive a reward. Partnerships: want discounts? We have a Workplace group where we announce partnerships with educational institutions, language schools, gyms, restaurants, products, and other services;