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 • Build production-grade systems that combine predictive, causal, and generative AI capabilities • 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 • 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

🎯 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

🏖️ Benefits

• Medical insurance • Sports reimbursement budget • Home office support • A number of free psychological and legal consultations • Maternity and paternity leave support • Internal workshops and learning initiatives • English language classes compensation • Professional certifications reimbursement • Participation in professional local and 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 • Valtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get.