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Cadmus Soluções em TI

Data Scientist

Cadmus Soluções em TI

Data Scientist role at Cadmus transforming data into analytics products to support business decisions. Emphasis on collaboration, data governance, and insights generation.

Posted 7/3/2026full-timeRio de Janeiro • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
BigQueryCloudPythonSQL

About the role

Key responsibilities & impact
  • Development and implementation of analytical solutions
  • Analyze functional requirements, translate them into technical specifications, and develop models and analytics solutions, including MVPs and POCs
  • Develop data initiatives and data governance frameworks
  • Generate actionable insights and support impact-driven strategies
  • Propose robust, sustainable technical solutions aligned with business needs and ad hoc analyses
  • Identify, manage, and utilize structured and unstructured data, ensuring compliance with security standards and information policies
  • Perform statistical and exploratory analyses to identify patterns, correlations, trends, and anomalies in data
  • Collaborate with cross-functional teams to understand data needs
  • Translate complex findings into clear reports, presentations, and dashboards for technical and non-technical audiences
  • Support the definition of business cases, costs, and strategic objectives
  • Stay up to date on analytics trends and tools
  • Share best practices and promote a data-driven culture within the team
  • Create and maintain documentation according to established standards
  • Supervise and ensure the quality of analytical deliverables (where applicable)

Requirements

What you’ll need
  • Proven experience as a Data Scientist
  • Data manipulation and analysis: SQL, Python, Excel
  • Data visualization and handling tools: Power BI and Microsoft environments, BigQuery and Google Cloud
  • Strong understanding of statistical methods and performance metrics
  • Ability to translate complex analyses into clear recommendations for business stakeholders
  • Excellent communication and presentation skills, with a focus on data storytelling
  • Attention to detail, organization, and commitment to accuracy
  • Experience working in sprints and delivering incremental releases

Benefits

Comp & perks
  • N/A 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

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Hard Skills & Tools
Data ManipulationData AnalysisStatistical MethodsPerformance MetricsData VisualizationExploratory AnalysisData GovernanceTechnical SpecificationsMVP DevelopmentPOC Development
Soft Skills
Excellent CommunicationPresentation SkillsAttention to DetailOrganizational SkillsData Storytelling