Senior Data Scientist
Friend & Friend
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
Visit company websiteExplore more
Job Level
About the role
- Develop, validate and scale the Resource Allocation Model
- Implement optimization algorithms
- Lead the development of predictive and prescriptive models
- Use PySpark to manage and transform large volumes of data
- Build and deploy machine learning models using Python and TensorFlow
- Collaborate with stakeholders in Marketing, Category and Commercial teams
- Use GitHub Actions for version control and CI/CD workflows
- Present results through data storytelling and dashboards
Requirements
- Bachelor's, Master's or PhD in a quantitative field (e.g., Data Science, Statistics, Computer Science or Economics)
- More than 5 years of hands-on experience in Data Science, preferably in FMCG or retail sectors
- Deep knowledge of optimization techniques (e.g., linear programming, genetic algorithms and constrained optimization)
- Advanced programming skills in Python (pandas, scikit-learn, statsmodels, TensorFlow)
- Experience in Machine Learning, including deploying supervised and unsupervised algorithms in production
- Experience with PySpark for large-scale distributed data processing and transformation
- Experience with Git and GitHub Actions for collaborative development and CI/CD pipelines
Benefits
- Competitive market-aligned salary
- Attractive annual performance-based bonus
- Global, highly collaborative environment
- Accelerated learning opportunities
- Genuine opportunities for career growth and mobility
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
optimization algorithmspredictive modelsprescriptive modelsPySparkmachine learningPythonTensorFlowlinear programminggenetic algorithmsdata processing
Soft Skills
collaborationdata storytellingpresentation skills
Certifications
Bachelor's degreeMaster's degreePhD