Senior Data Scientist
Leega
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
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Job Level
About the role
- Our mission will be to develop statistical models, segmentations and solutions leveraging GenAI models.
- We work directly with Product, Risk, Commercial and Customer Service leadership, translating data into business strategies that generate value.
- You will have the opportunity to work on end-to-end projects, bringing advancement and intelligence to the business.
- Develop high-complexity, high-impact statistical models, segmentations and solutions for a variety of business areas (Product, Risk, Commercial, Collections and Customer Service).
- Provide technical mentorship to the team, perform code reviews and define the area's quality standards.
- Understand the business strategies of the departments we serve at the Bank, identifying new opportunities for improvement and influencing business strategy.
- Negotiate end-to-end project scope, manage stakeholder expectations, map risks and plan in clear phases.
- Ensure implementation of developed models together with MLOps teams, anticipating challenges and proposing solutions.
- Ensure strategic, clear storytelling for developed projects to present and drive adoption of the created models across the Bank's areas.
- Lead and develop analytical studies using traditional techniques, Machine Learning and GenAI.
- Develop and oversee the deployment of the feature store.
- Lead and propose process automation projects for the area to ensure increased productivity.
Requirements
- Bachelor's degree in Statistics, Data Science, Mathematics or a related field.
- Proven extensive experience as a Senior Data Scientist, leading the development of complex models with significant business impact.
- Advanced proficiency in PySpark, Python and SQL for architecture and Big Data processing.
- Deep experience with Databricks or similar cloud platforms, including data optimization and governance.
- Experience in mentoring, code review and defining standards and best practices for developing statistical models.
- Strategic communication skills to influence, negotiate and present results to executives and non-technical stakeholders.
- Deep business understanding and a proven ability to identify opportunities and develop strategic vision.
- Knowledge of analytical solutions architecture, including MLOps and scalability.
- Experience with data visualization tools (e.g., Power BI) to tell the story of results.
- Experience duration: Minimum 5 to 8 years of experience in Data Science.
- MLOps: Minimum required experience: 2 to 4 years.
- Databricks: Minimum required experience: 3 to 5 years.
Benefits
- 🏥 Porto Seguro Medical Plan
- 🦷 Porto Seguro Dental Plan
- 💰 Profit-sharing (PLR)
- 👶 Childcare allowance
- 🍽️ Alelo Meal and Food Vouchers
- 💻 Home office allowance
- 📚 Partnerships with educational institutions
- 🚀 Incentives for certifications, including cloud certifications
- 🎁 Livelo points
- 🏋️♂️ TotalPass
- 🧘♂️ Mindself (wellness)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical modelssegmentationMachine LearningGenAIPySparkPythonSQLdata optimizationMLOpsdata visualization
Soft Skills
technical mentorshipcode reviewstrategic communicationinfluencenegotiationstakeholder managementstorytellingbusiness understandingopportunity identificationprocess automation
Certifications
Bachelor's degree in StatisticsBachelor's degree in Data ScienceBachelor's degree in Mathematics