Senior Data Scientist

Valtech

Senior Data Scientist at Valtech, an experience innovation company transforming brands through data, AI, creativity, and technology. Designing statistical models, experiments, dashboards, and actionable business insights.

Posted 8/18/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, data analysis, and visualization to drive strategic business decisions. Proficient in SQL and Python, with a strong ability to communicate insights effectively to non-technical stakeholders.

Highest-signal resume keywords

Statistical ModelingData AnalysisSQL ProficiencyPython ProficiencyData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingInferential StatisticsExperimentationA/B TestingData Analysis

Soft Skills

Strong Communication SkillsStakeholder EngagementAutonomous Work

Tools & Technologies

Azure CloudData LakeData FactorySynapseDatabricksPower BITableau

Certifications & Qualifications

Master’s DegreePhD in MathematicsPhD in StatisticsPhD in Computer Science

Industry Keywords

Data ScienceData EngineeringAgile MethodologiesGenerative AIAI-Powered Dashboarding

Tech Stack

Tools & technologies

AzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

Design and conduct statistical modeling and analysis based on business-level problem specifications
Lead experimentation and A/B testing to systematically evaluate business hypotheses and inform decision-making
Perform ad hoc and deep-dive analytics to answer business questions, uncover insights, and identify opportunities for impact
Analyze complex, raw datasets with strong analytical rigor and explainability
Define KPIs, reporting workflows, dashboards, and data visualizations to measure outcomes and support strategic business decisions
Translate analytical results into intuitive insights through interactive dashboards (Tableau, Power BI) or custom web applications
Communicate technical concepts, findings, and data-driven recommendations clearly to non-technical stakeholders
Partner directly with stakeholders to understand business needs and translate requirements into analyses, experiments, and actionable recommendations
Gather stakeholder requirements, conduct technical due diligence, and design pragmatic, high-impact analytical solutions
Work autonomously across the end-to-end analytics lifecycle, from problem framing and analysis design through insight delivery
Collaborate with cross-functional teams to ensure alignment on priorities, methodology, and deliverables

Requirements

What you’ll need

Advanced/Fluent English
Proven industry experience developing predictive or inferential statistical models OR a Master’s/PhD in Mathematics, Statistics, Computer Science, or a similar quantitative field
4+ years of experience in data science, data engineering, or analytical roles
Strong proficiency in SQL and Python, with the ability to interface with each component in the full pipeline from data ingestion to insight
Experience with Azure Cloud, including Data Lake, Data Factory, Synapse, Databricks, and Functions
Hands-on experience with Data Analysis
Practical experience with Experimentation / A/B Testing
Experience with Data Visualization tools
Ability to work with strong autonomy, managing analyses end-to-end
Strong communication skills, able to engage directly with stakeholders and translate business needs into analytical work
Experience with Agile methodologies and consulting (a plus)
Experience with Generative AI (nice to have)
Experience with LangChain / LangGraph (nice to have)
Experience with AI-powered dashboarding (nice to have)
Experience with Metabase (nice to have)
Experience with Power BI, Tableau or similar (nice to have)

Benefits

Comp & perks

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Competitive compensation package