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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Science with a focus on statistical modeling, Machine Learning, and data architecture. Proficient in developing demand forecasting models and translating complex analyses into actionable insights for diverse audiences.
Highest-signal resume keywords
Data ScienceStatistical ModelingMachine LearningPython ProficiencyBig Data Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Exploratory Data AnalysisDemand Forecasting ModelsPrice AnalysisData ArchitectureData GovernanceGenerative AI ManagementChatbot DevelopmentAgentic AI ModelsData Pipeline EfficiencyPredictive Analysis
Soft Skills
Strong Communication Skills
Tools & Technologies
Google BigQueryAzure DevOps
Industry Keywords
Data AnalysisData IntegrityData ScalabilityBusiness Value CreationTechnical Development
Tech Stack
Tools & technologiesAzureBigQueryCloudPython
About the role
Key responsibilities & impact- Conduct exploratory and predictive analyses, consolidating existing internal and external data.
- Lead key project agendas within the area with senior leadership, demonstrating impact, strategy, and value creation.
- Develop and maintain demand forecasting models and price analyses for the global pulp market.
- Lead collaboration with data engineers to ensure the efficiency and scalability of data pipelines.
- Define strategy, processes, and methodologies, ensuring traceability and reproducibility of analyses.
- Drive the evolution of data architecture and ensure the quality and integrity of the data used.
- Identify new opportunities for analysis and technical data-driven applications that add business value.
- Produce reports and dashboards that present analysis results and forecasts.
- Support the technical development of data scientists.
Requirements
What you’ll need- Bachelor’s degree or higher
- Solid professional experience in Data Science, focused on: statistical modeling and Machine Learning; exploratory data analysis; management of Generative AI / Chatbot / Agentic AI models
- Proficiency in Python (libraries for analysis, modeling, and automation)
- Strong knowledge of programming best practices, data architecture, and governance
- Experience with Big Data and Cloud technologies (Google BigQuery and Azure DevOps)
- Advanced level of English
- Strong communication skills to translate technical analyses into clear insights for different audiences.
Benefits
Comp & perks- Health insurance
- Dental coverage and life insurance
- Meal voucher (VR) or company cafeteria; food allowance (VA) to help with grocery shopping, plus an additional VA at year-end
- Private pension plan
- Work-from-home option for corporate roles
- Flexible working hours
- Casual dress code
- E-learning courses and training on our digital platform, UniverSuzano
- Volunteer program
- Employee discount club
