Cientista de Dados Senior

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

📋 Description

• Develop, implement, and enhance allocation and optimization algorithms for the distribution of products between Distribution Centers and stores.

• Maintain and improve inventory simulators for scenario evaluation, testing of replenishment policies, and backtesting and what-if analyses.

• Transform prototypes and models created in notebooks into productive, scalable, and sustainable solutions.

• Build, maintain, and optimize large-scale data pipelines to support analytical and operational models.

• Analyze business indicators such as service level, stockouts, inventory turnover, and fill rate, generating insights to support strategic decisions.

• Communicate results, recommendations, and improvement opportunities to business areas and stakeholders.

• Collaborate with Data Engineering teams in building, operating, and evolving pipelines in a cloud environment (AWS).

• Ensure the quality, reliability, and performance of analytical solutions in production.

• Contribute to the continuous evolution of supply models, planning, and inventory management.

• Participate in the definition and implementation of best practices in Data Science, analytical engineering, and development of scalable solutions.

⛳️ Requirements

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

• Solid experience in Data Science, with the development and implementation of solutions applied to business challenges.

• Advanced knowledge of Python, including libraries such as NumPy and Pandas.

• Proficiency in SQL for querying, manipulating, and analyzing data.

• Understanding of statistics and probability applied to forecasting models, inventory management, and service level indicators.

• Experience with PySpark for processing and transforming large volumes of data.

• Background in building, maintaining, and optimizing large-scale data pipelines.

• Experience with AWS services, particularly Glue and S3.

• Analytical skills to transform data into insights and strategic recommendations.

• Effective communication skills for interaction with business areas and technical teams.

• Differentiator: knowledge of Polars.

• Differentiator: experience with Numba (JIT).

• Differentiator: background in developing allocation, optimization, and operations research algorithms.

• Differentiator: experience with multi-level inventory simulation and replenishment strategies.

• Differentiator: knowledge of Streamlit and Plotly.

• Differentiator: experience with Terraform and Infrastructure as Code (IaC) practices.

• Differentiator: familiarity with CI/CD processes and tools.

• Differentiator: knowledge of AWS Step Functions.

• Differentiator: experience in technical leadership of Data Science projects.

• Differentiator: experience mentoring and developing data scientists and professionals in the field.

• Position also open to candidates with disabilities (PcD).

🏝️ Benefits

• Comprehensive health and wellness programs.

• Opportunities for professional development and training.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.