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The experience innovation company.
Senior Data Scientist – GCP Focus, Marketing Analytics
Location
Brazil
Posted
34 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist – GCP Focus, Marketing Analytics
Valtech
• Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels • Conduct root-cause analysis of production issues that lead to adverse model outputs • Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data • Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases • Contribute well-tested, maintainable code to existing object-oriented Python codebases • Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor • Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions • Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences • Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications • Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth • Engineer data infrastructure, libraries, and APIs supporting BI, ML, and marketing analytics pipelines • Architect cloud data platform components that enable scalable analytics and modeling solutions • Build and manage project timelines, dependencies, and risks • Gather stakeholder requirements and perform technical due diligence to design pragmatic, data-driven marketing and business solutions
Job Requirements
- Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
- Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
- Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
- Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
- Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
- Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
- Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
- Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
- 4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
- Advanced English proficiency
Benefits
- 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
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