Senior Data Scientist - BEES Logistics
On-siteCampinas, São Paulo, Brazil
EXPIREDCampinas, São Paulo, BrazilOn-siteFull TimeSenior LevelDoctorate Or Professional DegreeBeverageEnterprise
Full TimeSenior LevelDoctorate Or Professional DegreeEnterpriseBeverage
Job Summary
Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle, focusing on planning, forecasting, and operational decision-making. Apply advanced techniques such as statistical modeling, geospatial analytics, and forecasting to improve delivery efficiency and reliability. Translate complex logistics constraints into scalable mathematical models while writing production-grade code and building reusable data pipelines. Collaborate with engineers, product managers, and operations teams to deliver high-impact solutions that power delivery planning and customer promise accuracy.
Required Qualifications
- Strong foundation in mathematics, statistics, and problem solving
- Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field
- Proven experience applying machine learning, optimization, or advanced analytics to real-world problems in production environments
- Experience with complex systems involving uncertainty, constraints, and large-scale data
- Proficiency in Python for data analysis, modeling, and production workflows
- Familiarity with at least one of the following domains: optimization, forecasting, geospatial analytics, or large-scale operational systems
- Experience with experimentation frameworks, model validation, and performance monitoring
- Strong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflows
- Ability to work with ambiguity, break down complex problems, and deliver practical, high-impact solutions
- Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences
Desired Qualifications
- Master's preferred
- PhD is a plus
- experience with distributed processing (e.g., Spark / PySpark) is a plus
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