Data Scientist responsible for developing and implementing credit recovery statistical models at Sicredi. Collaborative role requiring data analysis and interaction with multiple teams.
Responsibilities
Develop credit recovery models, considering the various customer segments, strategies and products of Sicredi;
Implement, together with the technology team, the models developed by the credit recovery team;
Review, recalculate and calibrate models when appropriate;
Produce studies and propose new initiatives on credit recovery topics, understanding members’ profiles, products and stages of the credit cycle;
Work closely with different product teams, supporting analysis and providing new data-driven insights;
Interact with the various roles in the data process (analysts, engineers, data scientists and business analysts);
Maintain the necessary documentation for your deliverables;
Continuously evolve and expand technical skills.
Requirements
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Physics, Accounting and Actuarial Sciences, Engineering, Economics or related areas;
Experience with statistical modeling applied to the credit market;
Strong writing, summarization and communication skills;
Experience with programming languages and tools such as Python, Spark, SQL and SAS;
Hands-on experience in data analysis, monitoring KPIs and conducting ad-hoc studies;
Knowledge and practical experience in the credit market;
Intermediate English is desirable.
Benefits
14th and 15th fixed salaries;
Profit-sharing / results-based participation (depending on seniority);
Health and dental insurance with no copayment;
Wellness programs with Wellhub (formerly Gympass), nutrition, psychology, occupational health, massage, running groups and local gym access;
Meal and food vouchers – flexible percentage allocation between VA/VR cards, with no copayment;
Extended maternity and paternity leave;
Childcare or nanny allowance for children up to 6 years and 11 months;
Support for children with disabilities, with no age limit;
Life insurance;
Private pension plan up to 7% of salary;
Training platform – Sicredi Aprende, with a variety of courses;
40-hour workweek – using a time bank system;
Remote work allowance (except for positions that are 100% on-site).
Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
Senior Data Scientist addressing complex ML and AI challenges at JLL. Collaborating in a hybrid environment with a focus on real estate technology in Tel Aviv.
Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.