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.
About the role
- Data Scientist managing machine learning and AI projects at Brasilseg. Ensuring methodological application and compliance while delivering impactful business insights.
Responsibilities
- Lead technical aspects of machine learning and AI projects.
- Develop, validate, and deploy statistical, machine learning, and deep learning models.
- Act as a reference for scientists, engineers, and analysts, proposing methods and best practices.
- Ensure model governance, explainability, and compliance with LGPD (Brazilian General Data Protection Law).
- Translate business problems into clear, actionable analytical solutions.
- Communicate insights and results to both technical and executive audiences.
Requirements
- Education: Bachelor’s degree in Statistics, Engineering, Computer Science, Mathematics, or a related field.
- Strong experience with Python and machine learning/deep learning libraries (scikit-learn, XGBoost, TensorFlow, PyTorch).
- Proficiency in SQL and experience processing and manipulating large volumes of data.
- Experience with cloud platforms (AWS, GCP, or Azure) and modern analytics architectures.
- Familiarity with MLOps practices: versioning, monitoring, and model automation.
- Solid knowledge of statistics, mathematics, inference, experimentation, and modeling.
- Experience deploying models to production (APIs, microservices, pipelines).
Benefits
- Health Insurance
- Dental Insurance
- Funeral Expense Insurance
- Transportation voucher
- Free parking
- Meal voucher
- Food allowance (grocery voucher)
- 13th food basket (annual)
- Group Life Insurance
- Private Pension Plan
- Childcare and/or nanny assistance
- Profit-Sharing (PLR)
- Gympass
- Day off to celebrate your birthday
- Corporate University with over 500 courses
- Integrated Health Program: mental, social, financial, and physical health
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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