Senior Data Scientist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and refine allocation and optimization algorithms for the distribution of products among distribution centers and retail locations.

• Manage and improve inventory simulation tools to evaluate scenarios and replenishment strategies, including backtesting and what-if analysis.

• Transition prototyped solutions from notebooks to production environments by constructing large-scale data pipelines.

• Analyze and present business KPIs such as service level, stockouts, turnover, and fill rate to relevant business stakeholders.

• Work collaboratively with data engineering teams to manage pipelines in the AWS cloud.

⛳️ Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.

• Proven experience in Data Science with a focus on solving business challenges.

• Proficient in advanced Python (NumPy, Pandas; additional knowledge of Polars is a plus) and SQL.

• Understanding of statistics and probability applied to forecasting and service level assessments.

• Familiarity with PySpark and large-scale data pipeline development.

• Experience working with AWS technologies (Glue, S3).

• Preferred: expertise in optimizing Python performance (Numba JIT) and in allocation/optimization algorithms.

• Preferred: experience in multi-echelon inventory simulation.

• Preferred: knowledge of Streamlit/Plotly, Terraform, and CI/CD practices.

• Preferred: experience with AWS Step Functions.

• Preferred: experience in leading projects or mentoring fellow data scientists.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.