Senior Data Scientist

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Valtech

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1997

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech é uma agência digital global focada em inovação em experiências. A empresa se dedica a transformar negócios por meio da combinação de tecnologia, marketing e estratégias orientadas por dados. A Valtech ajuda companhias a elevar sua presença digital e impulsionar estratégias de Commerce, a acelerar transformações digitais em nível corporativo e a destravar o potencial de marketing e performance. A empresa também utiliza dados e IA para ajudar organizações a aproveitar o poder da informação. Com escritórios ao redor do mundo, a Valtech faz parcerias com empresas para moldar seus futuros digitais, oferecendo um conjunto de serviços e insights projetados para aprimorar as experiências dos clientes.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

• 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