Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
About the role
- Data Scientist improving data pipelines and generating insights for Sicredi's credit strategies. Collaborating with teams to derive actionable insights and drive decision-making.
Responsibilities
- Prepare scenario analyses 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 through data science;
- Ability to present and communicate analyses in non-technical terms;
- Collaborate with Data Engineers to improve data acquisition and transformation pipelines used in models;
- Work with Data Analysts to generate business insights and guide analysis to support strategic decision-making;
- Ensure model quality, performance, and sustainability;
- Participate in the Data Science Chapter, encouraging and promoting the dissemination of a data-driven culture among colleagues and teams;
- Maintain necessary documentation for your deliverables;
- Continuously develop technical and business knowledge;
- Understand and apply statistical and machine learning techniques to propose changes, provide decision-making insights, and embed models and intelligent algorithms into software products;
- Extract and process data from various sources and large volumes.
Requirements
- Bachelor's degree in Engineering, Economics, Statistics, Mathematics, Computer Science, or related fields.
- For internal candidates: minimum of 6 months' experience at Sicredi.
- Languages for advanced analysis (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)
- Building queries for relational and non-relational databases (advanced SQL, optimization)
- Data architecture (modeling, ETL pipelines, integration)
- Advanced data visualization and storytelling (Power BI, Plotly, Seaborn)
- Data governance and compliance with LGPD
- Clear and concise communication
- Empathy and collaboration
- Critical and analytical thinking
- Problem-solving focus.
Benefits
- Fixed 14th and 15th salaries
- Profit-sharing / results participation (according to seniority)
- Health and dental plans with no co-pay
- Wellness programs through Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running groups, and local gym access
- Meal and food allowances (VA/VR) — flexible allocation between cards, with no co-pay
- Extended maternity and paternity leave
- Childcare or nanny allowance for children up to 6 years and 11 months
- Support for children with disabilities, no age limit
- Life insurance
- Private pension plan up to 7% of salary
- Training platform – Sicredi Aprende, offering a variety of courses
- 40-hour work week — using a time bank system
- Remote work allowance (except for positions that are 100% on-site).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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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.
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