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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, statistical methods, and data visualization, with a strong ability to translate complex findings into actionable insights for business stakeholders. Proficient in developing analytical solutions and frameworks that align with business needs while ensuring compliance with data governance standards.

Highest-signal resume keywords

Data Scientist ExperienceSQL ProficiencyPython ProgrammingPower BI ExpertiseStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManipulationData AnalysisStatistical MethodsPerformance MetricsData VisualizationExploratory AnalysisData GovernanceTechnical SpecificationsMVP DevelopmentPOC Development

Soft Skills

Excellent CommunicationPresentation SkillsAttention to DetailOrganizational SkillsData Storytelling

Tools & Technologies

ExcelBigQueryGoogle CloudMicrosoft EnvironmentsAnalytics Tools

Industry Keywords

Data-Driven CultureCross-Functional CollaborationIncremental ReleasesCompliance StandardsActionable Insights

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

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