Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision-making.
Responsibilities
- Perform scenario studies and business diagnostics;
- Develop and support teams in measuring results, identifying opportunities, trends, and patterns in datasets;
- Take initiative to propose hypotheses and solve problems using data science;
- Ability to present and communicate analyses in non-technical terms;
- Collaborate with Data Engineers to improve data acquisition and transformation flows used by models;
- Work alongside Data Analysts to generate business insights and guide information analysis for better strategic decisions;
- Ensure the quality, performance, and sustainability of models;
- Participate in the Data Science Chapter, encouraging and promoting a data-driven culture among colleagues and teams across our operation;
- Maintain necessary documentation for your deliverables;
- Continuously evolve technically and from a business perspective;
- Understand and apply statistical and machine learning techniques to propose changes, provide decision-making support, and deploy models and intelligent algorithms into software products;
- Extract and process data from diverse sources and at large scale.
Requirements
- Bachelor's degree or higher in Engineering, Economics, Statistics, Mathematics, Computer Science, or related fields.
- For internal candidates: minimum of 6 months' experience at Sicredi.
- Advanced analysis languages (SQL, R, Python).
- Version control and CI/CD tools (Git, GitLab or similar).
- ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn).
- Advanced statistics applied to data science (inference, hypothesis testing, multivariate analysis).
- Statistical and econometric modeling (regressions, time series, survival models).
- Experience with production environments (model deployment, MLOps, monitoring).
- Experience with cloud platforms (AWS).
- Querying relational and non-relational databases (advanced SQL, optimization).
- Data architecture (modeling, ETL pipelines, integration).
- Advanced visualization and data storytelling (Power BI, Plotly, Seaborn).
- Data governance and compliance with LGPD.
- Clear and concise communication.
- Empathy and collaboration.
- Critical and analytical thinking.
- Problem-solving orientation.
Benefits
- Fixed 14th and 15th salary payments.
- Profit-sharing / performance participation (depending on seniority).
- Health and dental plans with no co-payment.
- Wellness programs via Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running groups, and local gym access.
- Food and meal allowances (VA/VR) with flexible allocation between cards, no co-payment.
- Extended maternity and paternity leave.
- Childcare or nanny allowance for children up to 6 years and 11 months.
- Support allowance for children with disabilities, no age limit.
- Life insurance.
- Private pension plan contribution up to 7% of salary.
- Training platform — Sicredi Aprende, offering a variety of courses.
- 40-hour workweek — using a time bank system.
- Remote work allowance (except for positions that are 100% on-site).
Job title
Job type
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Degree requirement
Tech skills
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