Cientista de Dados SR

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados SR based in Brazil.

This is an opportunity for a senior Data Scientist to build and evolve data-driven solutions for complex business challenges in supply chain, inventory, and product <distribution.You> will design allocation and optimization algorithms that directly influence service levels, inventory availability, and operational efficiency.The role combines advanced data science, statistical modeling, large-scale data processing, and cloud <engineering.You> will transform analytical prototypes into reliable, scalable production solutions and work closely with data engineering and business teams.Your work will involve high-volume datasets, simulation, forecasting, optimization, and what-if analysis to support strategic decisions.The environment values technical excellence, continuous improvement, knowledge sharing, and strong collaboration with diverse stakeholders.This is a strong fit for someone who enjoys connecting sophisticated analytical models with measurable business impact.

Accountabilities

• Develop, implement, and continuously improve allocation and optimization algorithms for distributing products across distribution centers and stores.
• Maintain and enhance inventory simulators used for scenario analysis, replenishment policy testing, backtesting, and what-if simulations.
• Transform data science prototypes and notebook-based models into scalable, maintainable, and production-ready solutions.
• Build, maintain, and optimize large-scale data pipelines that support analytical and operational models.
• Analyze business indicators such as service level, stockouts, inventory turnover, and fill rate, translating findings into actionable strategic recommendations.
• Communicate analytical results, recommendations, and improvement opportunities clearly to business stakeholders and technical teams.
• Partner with Data Engineering teams to build, operate, and evolve cloud-based pipelines, particularly within AWS environments.
• Ensure the quality, reliability, scalability, and performance of analytical solutions running in production.
• Contribute to the continuous evolution of replenishment, supply planning, and inventory management models and practices.
• Help define and implement best practices across Data Science, analytical engineering, and scalable solution development.
• Where applicable, provide technical leadership and mentorship to other Data Scientists and contribute to the development of the broader data community.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
• Solid professional experience in Data Science, including the development and implementation of solutions addressing real-world business challenges.
• Advanced Python skills, including strong experience with libraries such as NumPy and Pandas.
• Strong SQL skills for querying, manipulating, and analyzing data.
• Solid knowledge of statistics and probability applied to forecasting, inventory management, and service-level metrics.
• Hands-on experience with PySpark for processing and transforming large volumes of data.
• Proven experience building, maintaining, and optimizing large-scale data pipelines.
• Experience with AWS services, particularly AWS Glue and Amazon S3.
• Strong analytical and problem-solving capabilities, with the ability to turn complex data into actionable insights and strategic recommendations.
• Excellent communication skills and the ability to collaborate effectively with both technical teams and business stakeholders.
• Knowledge of Polars, Numba/JIT optimization, allocation algorithms, optimization, or operations research is a strong plus.
• Experience with multi-echelon inventory simulation, replenishment strategies, Streamlit, Plotly, Terraform, Infrastructure as Code, CI/CD, or AWS Step Functions is desirable.
• Experience providing technical leadership or mentoring Data Scientists is an additional advantage.

Benefits

• Opportunity to work on complex, high-impact data science challenges with direct business impact.
• Exposure to large-scale data, cloud technologies, optimization, simulation, and advanced analytical solutions.
• Collaborative environment focused on innovation, continuous learning, and technical excellence.
• Opportunities for technical leadership, mentoring, and professional development.
• Interaction with multidisciplinary teams and stakeholders across different business areas.
• Opportunity to contribute to scalable production solutions rather than working exclusively with experimental models.
• A diverse and collaborative culture that encourages knowledge sharing and continuous growth.