Senior Data Scientist

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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• 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

• 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

• 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