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 • Build production-grade systems that combine predictive, causal, and generative AI capabilities • Turn complex data into actionable insights, automated decisions, and intelligent workflows • Design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI • Collaborate closely with data engineers, ML engineers, analysts, and platform teams

🎯 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

• 24 working days of paid vacation • National holidays covered • Sick leave (up to 20/year) • Unpaid leave (up to 20/year) • Medical insurance • Multisport card OR Multikafeteria • Maternity & paternity leave support • Internal workshops & learning initiatives • Professional certifications reimbursement • Participation in professional local & global communities • Growth Framework to manage expectations and define the steps to move towards the selected career • Mentoring program with the ability to become a mentor or a mentee to grow to a higher position