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Suzano

Senior Data Scientist

Suzano

. Conduct exploratory and predictive analyses on large, heterogeneous datasets using SQL, R, Python, Excel, and Google Sheets .

Posted 11/12/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Science with a strong focus on statistical modeling, optimization, and Machine Learning, while effectively managing Generative AI, Chatbot, and Agentic AI solutions. Proficient in translating complex data analyses into actionable insights and narratives for diverse audiences.

Highest-signal resume keywords
Data ScienceMachine LearningGenerative AI ManagementPython ProficiencyStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLRPythonStatistical ModelingOptimizationMachine LearningData AnalysisData ArchitecturePredictive AnalysisEnsemble Methods
Soft Skills
Strong Communication SkillsCollaborationLeadershipProblem-SolvingRelationship Building
Tools & Technologies
Google BigQueryPower BITableauLookerStreamlitGCP Cloud InfrastructureAzure DevOpsAgile MethodologiesAutonomous-Agent FrameworksPrompt Engineering
Industry Keywords
Big DataData GovernanceExploratory Data AnalysisData PipelinesAI Application LifecycleSIG StandardsStatistical AnalysisData ManagementBusiness RequirementsTechnical Development

Tech Stack

Tools & technologies
AzureBigQueryCloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact
  • Conduct exploratory and predictive analyses on large, heterogeneous datasets using SQL, R, Python, Excel, and Google Sheets
  • Integrate internal and external data to identify opportunities and generate actionable insights
  • Define problems, specify features, and develop, validate, and implement statistical, predictive, and Machine Learning models
  • Apply ensemble methods, linear, integer, and mixed-integer optimization, and evolutionary algorithms
  • Create and deliver accelerators and tools for preprocessing, modeling, and deployment
  • Develop, manage, and maintain Generative AI, Chatbot, and Agentic AI solutions
  • Design LLM- and RAG-based architectures, use autonomous-agent frameworks, and perform prompt engineering
  • Orchestrate the deployment, monitoring, and optimization of the AI application lifecycle
  • Lead high-impact projects with senior leadership, demonstrating impact, strategic value, and value creation
  • Maintain, optimize, and expand GCP cloud infrastructure and data pipelines in collaboration with data engineers
  • Develop analytical reports and interactive dashboards using Power BI, Tableau, Looker, and Streamlit
  • Translate complex results into compelling narratives and action plans
  • Build relationships with internal teams to understand business requirements
  • Work in an agile, collaborative squad-based environment
  • Define best practices for data and code management
  • Define architecture, security, and infrastructure requirements with IT teams
  • Support the technical development of data scientists
  • Understand and follow SIG standards and procedures

Requirements

What you’ll need
  • Bachelor’s degree or equivalent higher education qualification
  • Solid professional experience in Data Science, with a focus on statistical modeling, optimization, Machine Learning, and exploratory data analysis
  • Experience managing Generative AI, Chatbot, and Agentic AI models and solutions
  • Demonstrated ownership and influence to lead end-to-end projects with business teams
  • Advanced proficiency in Python, including libraries for analysis, modeling, and automation
  • Strong command of programming best practices, data architecture, and governance
  • Experience with Big Data and cloud technologies, including Google BigQuery and Azure DevOps
  • Advanced English proficiency
  • Strong communication skills, with the ability to translate technical analyses into clear insights for diverse audiences

Benefits

Comp & perks
  • Medical and dental insurance
  • Vaccination campaigns
  • Workplace exercise programs and running groups
  • Wellness platforms, including gyms, apps, and online classes
  • Nutrition program
  • Meal allowance plus an additional year-end meal allowance*
  • Meal voucher or on-site cafeteria*
  • Transportation allowance or company shuttle*
  • Payroll-deducted and social loans
  • Private pension plan
  • Life insurance
  • Profit-sharing program
  • Childcare assistance for mothers, fathers with custody, and same-sex couples
  • Support for children with special needs
  • Maternity leave (180 days)
  • Paternity leave (20 days)
  • Healthy Baby Program
  • Learning and Growth Program
  • “Breathe Well” Program (mindfulness)
  • Tele Faz Bem Program (psychological, social, legal, and financial support)
  • Subsidized online therapy
  • Gift vouchers and school supplies kit
  • Discount club
  • Valeu Recognition Program
  • Long-service recognition
  • UniverSuzano (courses and training)