Raízen

Senior Data Science Analyst – Optimization, Prescriptive Analytics

Raízen

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Job Level

Tech Stack

About the role

  • Understand business problems and translate them into prescriptive analytics solutions that maximize value proposition;
  • Analyze diverse company data to improve efficiency and implement enhancements for products and services across different business areas;
  • Collaborate with cross-functional teams to help create a productive and healthy work environment;
  • Prepare technical and business reports on proposed solutions and addressed issues;

Requirements

  • Bachelor’s degree in Engineering, Statistics, Computer Science, or related fields;
  • Deep knowledge of classical operations research methods (e.g., linear, nonlinear, mixed-integer optimization);
  • Familiarity with heuristics and metaheuristics (genetic algorithms, swarm methods, ant colony, etc.) and their practical applications;
  • Experience developing commercial solutions using programming languages for prescriptive analytics (e.g., Python);
  • Strong analytical ability, focused on understanding the business problem and identifying factors that deliver user value;
Benefits
  • Remote work
  • Support for training and professional development
  • Collaboration within a cross-functional team
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
prescriptive analyticsoperations researchlinear optimizationnonlinear optimizationmixed-integer optimizationgenetic algorithmsswarm methodsant colony optimizationPythonanalytical ability
Soft Skills
collaborationproblem-solvingcommunicationreport preparationcross-functional teamwork
Certifications
Bachelor’s degree in EngineeringBachelor’s degree in StatisticsBachelor’s degree in Computer Science