Senior Data Scientist

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Valtech

WebsiteLinkedInAll Job Openings

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 our AI portfolio. • Work at the intersection of data science, machine learning, and GenAI, turning complex data into actionable insights, automated decisions, and intelligent workflows. • Design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making pipelines. • Collaborate closely with data engineers, ML engineers, analysts, and platform teams, contributing to shared modeling standards and cross-functional AI architecture. • Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems). • Apply statistical, predictive, and prescriptive modeling techniques to solve business problems. • Build reusable modeling frameworks that can scale across multiple domains. • Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods). • Translate observational and experimental data into actionable business insights. • Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs). • Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows. • Contribute to the development of intelligent agents and AI-assisted decision-making systems. • Combine structured data models with unstructured data and GenAI outputs.

🎯 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 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

• Private health insurance • Education program • Wellbeing program • Free beverages • Events • Competitive conditions • Challenging projects • Cool colleagues • Honest feedback