Valtech
5001 - 10000 employees
Founded 1997
🤝 B2B
☁️ SaaS
B2B • 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.
Senior Data Scientist
🔥 1 minute ago
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Valtech
5001 - 10000 employees
Founded 1997
🤝 B2B
☁️ SaaS
B2B • 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
• Drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases within the AI portfolio • Work at the intersection of data science, machine learning, and GenAI, turning complex data into actionable insights • Design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into decision-making pipelines • Collaborate closely with data engineers, ML engineers, analysts, and platform teams, contributing to shared modeling standards and cross-functional AI architecture
🎯 Requirements
• Strong experience in machine learning, statistics, and applied data science • Experience with causal inference, experimentation, or decision science methodologies • Solid understanding of forecasting, optimization, or analytical modeling techniques • Strong programming skills in Python and SQL • Experience building and deploying production-ready data science or ML systems • Familiarity with model lifecycle management (training, deployment, monitoring) • Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP • Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems) • Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data) • Ability to translate business problems into analytical frameworks • Strong problem-solving skills with focus on business impact • Ability to translate complex models into actionable decisions • Strong collaboration and communication skills across technical and business teams
🏖️ Benefits
• growth opportunities • values-driven culture • international careers
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